- published: 25 Mar 2015
- views: 747
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A brief description of how to handle different text formats when building a corpus in corpus linguistics. Feel free to use in your own teaching of corpus linguistics.
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and thesaurus managers can analyze large text collections and identify gaps between a thesaurus and the content base. One can glean candidate terms and can identify parts of the taxonomy which do not occur in the actual content.
PoolParty's text mining capabilities are outstanding: highly performant and precise, multilingual and to be used in various industries.
- published: 30 Aug 2013
- views: 2255
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now supported even more efficiently by PoolParty's latest release.
We demonstrate how PoolParty 5.2 makes use of deep text mining including corpus analysis and co-occurrence analysis.
We show an example based on UNESCO world heritage sites and demonstrate how automatic classification can be extended step-by-step. An immediate feedback is given by PoolParty's faceted GraphSearch. Initial taxonomies can be built by using PoolParty's linked data harvester to fetch data from DBpedia.
- published: 25 Nov 2015
- views: 687
PyData London 2016
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand.
This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries e.g., bumpy.
Slides available here: https://github.com/piomonti/DeepTextMining/blob/master/PyData%20London%20Slides.pdf
GitHub: https://github.com/piomonti/DeepTextMining
- published: 09 May 2016
- views: 475
PyData Madrid 2016
Most of the talks and workshop tutorials can be found here: https://github.com/PyDataMadrid2016/Conference-Info
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries (e.g., numpy).
- published: 05 May 2016
- views: 353
A brief screencast about the difference between looking at linguistic data as 'text' or as 'corpus'. Feel free to use in your own teaching of corpus linguistics.
- published: 25 Mar 2015
- views: 149
Original version is http://togotv.dbcls.jp/20150321.html
Biomedical Linked Annotation Hackathon (BLAH) 2015 was held in The University of Tokyo Kashiwa Campus Station Satellite in Kashiwa, Chiba, Japan.
On the last day of the Hackathon (Feb. 27), public symposium of the BLAH 2015 was held.
In this talk, Karin Verspoor (University of Melbourne) makes a presentation entitled "Interoperability of Text Corpus Annotations with the Semantic Web". (21:05)
- published: 09 Jun 2015
- views: 88
Text corpus
In linguistics, a corpus (plural corpora) or text corpus is a large and structured set of texts (nowadays usually electronically stored and processed). They are used to do statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory.
Overview
A corpus may contain texts in a single language (monolingual corpus) or text data in multiple languages (multilingual corpus).
Multilingual corpora that have been specially formatted for side-by-side comparison are called aligned parallel corpora. There are two main types of parallel corpora which contain texts in two languages. In a translation corpus, the texts in one language are translations of texts in the other language. In a comparable corpus, the texts are of the same kind and cover the same content, but they are not translations of each other. To exploit a parallel text, some kind of text alignment identifying equivalent text segments (phrases or sentences) is a prerequisite for analysis. Machine translation algorithms for translating between two languages are often trained using parallel fragments comprising a first language corpus and a second language corpus which is an element-for-element translation of the first language corpus.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Text_corpus
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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3:21How to build a corpus (text formats)
How to build a corpus (text formats)How to build a corpus (text formats)
A brief description of how to handle different text formats when building a corpus in corpus linguistics. Feel free to use in your own teaching of corpus linguistics. -
6:02Text Corpus Analysis - PoolParty Tutorial #21
Text Corpus Analysis - PoolParty Tutorial #21Text Corpus Analysis - PoolParty Tutorial #21
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and thesaurus managers can analyze large text collections and identify gaps between a thesaurus and the content base. One can glean candidate terms and can identify parts of the taxonomy which do not occur in the actual content. PoolParty's text mining capabilities are outstanding: highly performant and precise, multilingual and to be used in various industries. -
18:44GraphSearch & Text Corpus Analysis - PoolParty 5.2
GraphSearch & Text Corpus Analysis - PoolParty 5.2GraphSearch & Text Corpus Analysis - PoolParty 5.2
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now supported even more efficiently by PoolParty's latest release. We demonstrate how PoolParty 5.2 makes use of deep text mining including corpus analysis and co-occurrence analysis. We show an example based on UNESCO world heritage sites and demonstrate how automatic classification can be extended step-by-step. An immediate feedback is given by PoolParty's faceted GraphSearch. Initial taxonomies can be built by using PoolParty's linked data harvester to fetch data from DBpedia. -
31:36Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in pythonRicardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
PyData London 2016 Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries e.g., bumpy. Slides available here: https://github.com/piomonti/DeepTextMining/blob/master/PyData%20London%20Slides.pdf GitHub: https://github.com/piomonti/DeepTextMining -
3:27Third Eye Playthrough - Text Corpus
Third Eye Playthrough - Text Corpus -
33:36Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann MachinesRicardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
PyData Madrid 2016 Most of the talks and workshop tutorials can be found here: https://github.com/PyDataMadrid2016/Conference-Info Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries (e.g., numpy). -
4:09Text versus corpus
Text versus corpusText versus corpus
A brief screencast about the difference between looking at linguistic data as 'text' or as 'corpus'. Feel free to use in your own teaching of corpus linguistics. -
0:42Learner Corpus with Text Based Concordance
Learner Corpus with Text Based Concordance -
21:05Interoperability of Text Corpus Annotations with the Semantic Web
Interoperability of Text Corpus Annotations with the Semantic WebInteroperability of Text Corpus Annotations with the Semantic Web
Original version is http://togotv.dbcls.jp/20150321.html Biomedical Linked Annotation Hackathon (BLAH) 2015 was held in The University of Tokyo Kashiwa Campus Station Satellite in Kashiwa, Chiba, Japan. On the last day of the Hackathon (Feb. 27), public symposium of the BLAH 2015 was held. In this talk, Karin Verspoor (University of Melbourne) makes a presentation entitled "Interoperability of Text Corpus Annotations with the Semantic Web". (21:05) -
8:17Text Corpus Album Teaser
Text Corpus Album TeaserText Corpus Album Teaser
Album out soon
-
How to build a corpus (text formats)
A brief description of how to handle different text formats when building a corpus in corpus linguistics. Feel free to use in your own teaching of corpus linguistics.
published: 25 Mar 2015 -
Text Corpus Analysis - PoolParty Tutorial #21
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and thesaurus managers can analyze large text collections and identify gaps between a thesaurus and the content base. One can glean candidate terms and can identify parts of the taxonomy which do not occur in the actual content. PoolParty's text mining capabilities are outstanding: highly performant and precise, multilingual and to be used in various industries.
published: 30 Aug 2013 -
GraphSearch & Text Corpus Analysis - PoolParty 5.2
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now supported even more efficiently by PoolParty's latest release. We demonstrate how PoolParty 5.2 makes use of deep text mining including corpus analysis and co-occurrence analysis. We show an example based on UNESCO world heritage sites and demonstrate how automatic classification can be extended step-by-step. An immediate feedback is given by PoolParty's faceted GraphSearch. Initial taxonomies can be built by using PoolParty's linked data harvester to fetch data from DBpedia.
published: 25 Nov 2015 -
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
PyData London 2016 Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using on...
published: 09 May 2016 -
-
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
PyData Madrid 2016 Most of the talks and workshop tutorials can be found here: https://github.com/PyDataMadrid2016/Conference-Info Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practica...
published: 05 May 2016 -
Text versus corpus
A brief screencast about the difference between looking at linguistic data as 'text' or as 'corpus'. Feel free to use in your own teaching of corpus linguistics.
published: 25 Mar 2015 -
-
Interoperability of Text Corpus Annotations with the Semantic Web
Original version is http://togotv.dbcls.jp/20150321.html Biomedical Linked Annotation Hackathon (BLAH) 2015 was held in The University of Tokyo Kashiwa Campus Station Satellite in Kashiwa, Chiba, Japan. On the last day of the Hackathon (Feb. 27), public symposium of the BLAH 2015 was held. In this talk, Karin Verspoor (University of Melbourne) makes a presentation entitled "Interoperability of Text Corpus Annotations with the Semantic Web". (21:05)
published: 09 Jun 2015 -
How to build a corpus (text formats)
- Order: Reorder
- Duration: 3:21
- Updated: 25 Mar 2015
- views: 747
A brief description of how to handle different text formats when building a corpus in corpus linguistics. Feel free to use in your own teaching of corpus lingui...
A brief description of how to handle different text formats when building a corpus in corpus linguistics. Feel free to use in your own teaching of corpus linguistics.
wn.com/How To Build A Corpus (Text Formats)
A brief description of how to handle different text formats when building a corpus in corpus linguistics. Feel free to use in your own teaching of corpus linguistics.
- published: 25 Mar 2015
- views: 747
Text Corpus Analysis - PoolParty Tutorial #21
- Order: Reorder
- Duration: 6:02
- Updated: 30 Aug 2013
- views: 2255
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and t...
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and thesaurus managers can analyze large text collections and identify gaps between a thesaurus and the content base. One can glean candidate terms and can identify parts of the taxonomy which do not occur in the actual content.
PoolParty's text mining capabilities are outstanding: highly performant and precise, multilingual and to be used in various industries.
wn.com/Text Corpus Analysis Poolparty Tutorial 21
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a full-blown text corpus analysis module. By using this, taxonomists and thesaurus managers can analyze large text collections and identify gaps between a thesaurus and the content base. One can glean candidate terms and can identify parts of the taxonomy which do not occur in the actual content.
PoolParty's text mining capabilities are outstanding: highly performant and precise, multilingual and to be used in various industries.
- published: 30 Aug 2013
- views: 2255
GraphSearch & Text Corpus Analysis - PoolParty 5.2
- Order: Reorder
- Duration: 18:44
- Updated: 25 Nov 2015
- views: 687
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now supported even more efficiently by PoolParty's latest release.
We demon...
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now supported even more efficiently by PoolParty's latest release.
We demonstrate how PoolParty 5.2 makes use of deep text mining including corpus analysis and co-occurrence analysis.
We show an example based on UNESCO world heritage sites and demonstrate how automatic classification can be extended step-by-step. An immediate feedback is given by PoolParty's faceted GraphSearch. Initial taxonomies can be built by using PoolParty's linked data harvester to fetch data from DBpedia.
wn.com/Graphsearch Text Corpus Analysis Poolparty 5.2
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now supported even more efficiently by PoolParty's latest release.
We demonstrate how PoolParty 5.2 makes use of deep text mining including corpus analysis and co-occurrence analysis.
We show an example based on UNESCO world heritage sites and demonstrate how automatic classification can be extended step-by-step. An immediate feedback is given by PoolParty's faceted GraphSearch. Initial taxonomies can be built by using PoolParty's linked data harvester to fetch data from DBpedia.
- published: 25 Nov 2015
- views: 687
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
- Order: Reorder
- Duration: 31:36
- Updated: 09 May 2016
- views: 475
PyData London 2016
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabil...
PyData London 2016
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand.
This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries e.g., bumpy.
Slides available here: https://github.com/piomonti/DeepTextMining/blob/master/PyData%20London%20Slides.pdf
GitHub: https://github.com/piomonti/DeepTextMining
wn.com/Ricardo Pio Monti Modelling A Text Corpus Using Deep Boltzmann Machines In Python
PyData London 2016
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand.
This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries e.g., bumpy.
Slides available here: https://github.com/piomonti/DeepTextMining/blob/master/PyData%20London%20Slides.pdf
GitHub: https://github.com/piomonti/DeepTextMining
- published: 09 May 2016
- views: 475
Third Eye Playthrough - Text Corpus
- Order: Reorder
- Duration: 3:27
- Updated: 02 Nov 2013
- views: 105
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
- Order: Reorder
- Duration: 33:36
- Updated: 05 May 2016
- views: 353
PyData Madrid 2016
Most of the talks and workshop tutorials can be found here: https://github.com/PyDataMadrid2016/Conference-Info
Deep Boltzmann machines (DB...
PyData Madrid 2016
Most of the talks and workshop tutorials can be found here: https://github.com/PyDataMadrid2016/Conference-Info
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries (e.g., numpy).
wn.com/Ricardo Pio Monti Modelling A Text Corpus Using Deep Boltzmann Machines
PyData Madrid 2016
Most of the talks and workshop tutorials can be found here: https://github.com/PyDataMadrid2016/Conference-Info
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, principal among which is the fact that they are able to learn probabilistic representations of data in an entirely unsupervised manner. This allows DBMs to leverage large quantities of unlabelled data which are often available. The resulting representations can then be fine-tuned using limited labelled data or studied to obtain a more comprehensive understanding of the data at hand. This talk will begin by providing a high level description of DBMs and the training algorithms involved in learning such models. A topic modelling example will be used as a motivating example to discuss practical aspects of fitting DBMs and potential pitfalls. The entire code for this project is written in python using only standard libraries (e.g., numpy).
- published: 05 May 2016
- views: 353
Text versus corpus
- Order: Reorder
- Duration: 4:09
- Updated: 25 Mar 2015
- views: 149
A brief screencast about the difference between looking at linguistic data as 'text' or as 'corpus'. Feel free to use in your own teaching of corpus linguistics...
A brief screencast about the difference between looking at linguistic data as 'text' or as 'corpus'. Feel free to use in your own teaching of corpus linguistics.
wn.com/Text Versus Corpus
A brief screencast about the difference between looking at linguistic data as 'text' or as 'corpus'. Feel free to use in your own teaching of corpus linguistics.
- published: 25 Mar 2015
- views: 149
Learner Corpus with Text Based Concordance
- Order: Reorder
- Duration: 0:42
- Updated: 27 Jun 2013
- views: 196
Interoperability of Text Corpus Annotations with the Semantic Web
- Order: Reorder
- Duration: 21:05
- Updated: 09 Jun 2015
- views: 88
Original version is http://togotv.dbcls.jp/20150321.html
Biomedical Linked Annotation Hackathon (BLAH) 2015 was held in The University of Tokyo Kashiwa Campus ...
Original version is http://togotv.dbcls.jp/20150321.html
Biomedical Linked Annotation Hackathon (BLAH) 2015 was held in The University of Tokyo Kashiwa Campus Station Satellite in Kashiwa, Chiba, Japan.
On the last day of the Hackathon (Feb. 27), public symposium of the BLAH 2015 was held.
In this talk, Karin Verspoor (University of Melbourne) makes a presentation entitled "Interoperability of Text Corpus Annotations with the Semantic Web". (21:05)
wn.com/Interoperability Of Text Corpus Annotations With The Semantic Web
Original version is http://togotv.dbcls.jp/20150321.html
Biomedical Linked Annotation Hackathon (BLAH) 2015 was held in The University of Tokyo Kashiwa Campus Station Satellite in Kashiwa, Chiba, Japan.
On the last day of the Hackathon (Feb. 27), public symposium of the BLAH 2015 was held.
In this talk, Karin Verspoor (University of Melbourne) makes a presentation entitled "Interoperability of Text Corpus Annotations with the Semantic Web". (21:05)
- published: 09 Jun 2015
- views: 88
-
Mors De Corpus - Live 02/09/2016
published: 08 Sep 2016 -
Corpus linguistics
Corpus linguistics is the study of language as expressed in corpora of "real world" text.The text-corpus method is a digestive approach for deriving a set of abstract rules, from a text, for governing a natural language, and how that language relates to and with another language; originally derived manually, corpora now are automatically derived from the source texts.Corpus linguistics proposes that reliable language analysis is more feasible with corpora collected in the field, in their natural contexts, and with minimal experimental-interference.The field of Corpus Linguistics features divergent views about the value of corpus annotation, ranging from John McHardy Sinclair, who advocates minimal annotation, and so allow texts to speak for themselves; to the Survey of English Usage team w...
published: 04 Sep 2016 -
Text and Corpus Analysis Computer Assisted Studies of Language and Culture Language in Society
published: 12 Aug 2016 -
Updated ASL Corpus List
published: 11 Aug 2016 -
-
Nederlab: how to compose a virtual research corpus
This screen cast shows how you can using searching in Nederlab to define your own research corpora.
published: 06 Jul 2016 -
Corpus linguistics and the challenges of close and distant reading
http://www.birmingham.ac.uk/elal The 11th Sinclair Lecture was delivered by Professor Michaela Mahlberg, Chair in Corpus Linguistics and Director of the Centre for Corpus Research. This year’s Sinclair lecture was also Professor Mahlberg’s inaugural lecture to mark her new position at the University of Birmingham. John Sinclair was one of the founding fathers of corpus linguistics - a discipline that has radically changed theories about language and approaches to the study language. Research in corpus linguistics uses computer-assisted methods to identify and quantify patterns in naturally occurring language data. Since the early days of corpus linguistics developments in computing power and the increasing availability of data have contributed to pushing the boundaries of corpus lingui...
published: 22 Jun 2016 -
2.4 Corpus Management Basics
In this PoolParty Academy (https://www.poolparty.biz/academy/) learning tutorial we introduce you to the text corpus management functionalities of PoolParty Semantic Suite. You learn how to analyse different input source and use them to extend your existing taxonomies.
published: 20 Jun 2016
Mors De Corpus - Live 02/09/2016
- Order: Reorder
- Duration: 4:42
- Updated: 08 Sep 2016
- views: 30
- published: 08 Sep 2016
- views: 30
Corpus linguistics
- Order: Reorder
- Duration: 7:15
- Updated: 04 Sep 2016
- views: 0
Corpus linguistics is the study of language as expressed in corpora of "real world" text.The text-corpus method is a digestive approach for deriving a set of ab...
Corpus linguistics is the study of language as expressed in corpora of "real world" text.The text-corpus method is a digestive approach for deriving a set of abstract rules, from a text, for governing a natural language, and how that language relates to and with another language; originally derived manually, corpora now are automatically derived from the source texts.Corpus linguistics proposes that reliable language analysis is more feasible with corpora collected in the field, in their natural contexts, and with minimal experimental-interference.The field of Corpus Linguistics features divergent views about the value of corpus annotation, ranging from John McHardy Sinclair, who advocates minimal annotation, and so allow texts to speak for themselves; to the Survey of English Usage team who advocate annotation as allowing greater linguistic understanding, by way of rigorous recording.
This channel is dedicated to make Wikipedia, one of the biggest knowledge databases in the world available to people with limited vision.
Article available under a Creative Commons license
Image source in video
wn.com/Corpus Linguistics
Corpus linguistics is the study of language as expressed in corpora of "real world" text.The text-corpus method is a digestive approach for deriving a set of abstract rules, from a text, for governing a natural language, and how that language relates to and with another language; originally derived manually, corpora now are automatically derived from the source texts.Corpus linguistics proposes that reliable language analysis is more feasible with corpora collected in the field, in their natural contexts, and with minimal experimental-interference.The field of Corpus Linguistics features divergent views about the value of corpus annotation, ranging from John McHardy Sinclair, who advocates minimal annotation, and so allow texts to speak for themselves; to the Survey of English Usage team who advocate annotation as allowing greater linguistic understanding, by way of rigorous recording.
This channel is dedicated to make Wikipedia, one of the biggest knowledge databases in the world available to people with limited vision.
Article available under a Creative Commons license
Image source in video
- published: 04 Sep 2016
- views: 0
Text and Corpus Analysis Computer Assisted Studies of Language and Culture Language in Society
- Order: Reorder
- Duration: 1:20
- Updated: 12 Aug 2016
- views: 0
- published: 12 Aug 2016
- views: 0
Updated ASL Corpus List
- Order: Reorder
- Duration: 2:03
- Updated: 11 Aug 2016
- views: 23
- published: 11 Aug 2016
- views: 23
Sample Complexity of Learning Topic Models from Large Document Corpora
- Order: Reorder
- Duration: 27:57
- Updated: 11 Aug 2016
- views: 4
Nederlab: how to compose a virtual research corpus
- Order: Reorder
- Duration: 1:48
- Updated: 06 Jul 2016
- views: 8
This screen cast shows how you can using searching in Nederlab to define your own research corpora.
This screen cast shows how you can using searching in Nederlab to define your own research corpora.
wn.com/Nederlab How To Compose A Virtual Research Corpus
This screen cast shows how you can using searching in Nederlab to define your own research corpora.
- published: 06 Jul 2016
- views: 8
Corpus linguistics and the challenges of close and distant reading
- Order: Reorder
- Duration: 45:17
- Updated: 22 Jun 2016
- views: 136
http://www.birmingham.ac.uk/elal
The 11th Sinclair Lecture was delivered by Professor Michaela Mahlberg, Chair in Corpus Linguistics and Director of the Centre...
http://www.birmingham.ac.uk/elal
The 11th Sinclair Lecture was delivered by Professor Michaela Mahlberg, Chair in Corpus Linguistics and Director of the Centre for Corpus Research. This year’s Sinclair lecture was also Professor Mahlberg’s inaugural lecture to mark her new position at the University of Birmingham.
John Sinclair was one of the founding fathers of corpus linguistics - a discipline that has radically changed theories about language and approaches to the study language. Research in corpus linguistics uses computer-assisted methods to identify and quantify patterns in naturally occurring language data.
Since the early days of corpus linguistics developments in computing power and the increasing availability of data have contributed to pushing the boundaries of corpus linguistics. Probably most importantly, corpus methods are becoming increasingly relevant beyond linguistics and across disciplines to help us make sense of diverse sets of language data.
This year’s Sinclair lecture considered the potential and challenges of this development in view of the tension between reading a particular text and looking at the cumulative picture provided by texts. The cross-disciplinary nature of corpus linguistics was illustrated specifically with examples from the study of Dickens’s fiction and the socio-cultural context of the time.
A transcript and captions for this lecture will be available here shortly.
wn.com/Corpus Linguistics And The Challenges Of Close And Distant Reading
http://www.birmingham.ac.uk/elal
The 11th Sinclair Lecture was delivered by Professor Michaela Mahlberg, Chair in Corpus Linguistics and Director of the Centre for Corpus Research. This year’s Sinclair lecture was also Professor Mahlberg’s inaugural lecture to mark her new position at the University of Birmingham.
John Sinclair was one of the founding fathers of corpus linguistics - a discipline that has radically changed theories about language and approaches to the study language. Research in corpus linguistics uses computer-assisted methods to identify and quantify patterns in naturally occurring language data.
Since the early days of corpus linguistics developments in computing power and the increasing availability of data have contributed to pushing the boundaries of corpus linguistics. Probably most importantly, corpus methods are becoming increasingly relevant beyond linguistics and across disciplines to help us make sense of diverse sets of language data.
This year’s Sinclair lecture considered the potential and challenges of this development in view of the tension between reading a particular text and looking at the cumulative picture provided by texts. The cross-disciplinary nature of corpus linguistics was illustrated specifically with examples from the study of Dickens’s fiction and the socio-cultural context of the time.
A transcript and captions for this lecture will be available here shortly.
- published: 22 Jun 2016
- views: 136
2.4 Corpus Management Basics
- Order: Reorder
- Duration: 15:08
- Updated: 20 Jun 2016
- views: 165
In this PoolParty Academy (https://www.poolparty.biz/academy/) learning tutorial we introduce you to the text corpus management functionalities of PoolParty Sem...
In this PoolParty Academy (https://www.poolparty.biz/academy/) learning tutorial we introduce you to the text corpus management functionalities of PoolParty Semantic Suite. You learn how to analyse different input source and use them to extend your existing taxonomies.
wn.com/2.4 Corpus Management Basics
In this PoolParty Academy (https://www.poolparty.biz/academy/) learning tutorial we introduce you to the text corpus management functionalities of PoolParty Semantic Suite. You learn how to analyse different input source and use them to extend your existing taxonomies.
- published: 20 Jun 2016
- views: 165
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SWIB Josef Šlerka - Corpus Viewer: Ontology Learning from Text
The concept of the semantic web is present in information science discourse for more than 13 years and was conceived as a kind of counterweight to statistical methods for analysis of web corpuses, which stood behind the success of companies such as Google or Yahoo. In contrast to a statistical approaches it should lead to a better machine processing of data on the web through semantic layers (and formalization) added by man. In recent years, however, we are witnessing a gradual convergence between the semantic and the "statistical" web. Thanks to the efforts of initiatives such Schema.org there is a gradual progress not only in the standardization of the micro-data, but also to their massive deployment. Presentation from Semantic Web in Business Conference (an international conference on...
published: 03 Mar 2014 -
How to Build a Text Mining, Machine Learning Document Classification System in R!
We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
published: 16 May 2012 -
Discovery of Treatments from Text Corpora
Justin Grimmer, Stanford University New Directions in Computational Social Science & Data Science https://simons.berkeley.edu/talks/Justin-Grimmer-2016-04-25
published: 29 Apr 2016 -
MICASE: The Michigan Corpus of Academic Spoken English
Presented by Ute Römer & Stefanie Wulff at the University of Michigan English Language Institute on Dec 6th, 2007. For more info see: http://micase.elicorpora.info/
published: 03 Jul 2013 -
Open and Exploratory Extraction of Relations and Common Sense from Large Text Corpora - Alan Akbik
Alan Akbik November 10, 2014 Title: Open and Exploratory Extraction of Relations (and Common Sense) from Large Text Corpora Abstract: The use of deep syntactic information such as typed dependencies has been shown to be very effective in Information Extraction (IE). Despite this potential, the process of manually creating rule-based information extractors that operate on dependency trees is not intuitive for persons without an extensive NLP background. In this talk, I present an approach and a graphical tool that allows even novice users to quickly and easily define extraction patterns over dependency trees and directly execute them on a very large text corpus. This enables users to explore a corpus for structured information of interest in a highly interactive and data-guided fashion, an...
published: 26 Nov 2014
The Colorado Richly Announced Full Text Corpus
- Order: Reorder
- Duration: 27:37
- Updated: 05 Sep 2013
- views: 30
Presented by Kevin B Cohen
Presented by Kevin B Cohen
wn.com/The Colorado Richly Announced Full Text Corpus
SWIB Josef Šlerka - Corpus Viewer: Ontology Learning from Text
- Order: Reorder
- Duration: 22:52
- Updated: 03 Mar 2014
- views: 489
The concept of the semantic web is present in information science discourse for more than 13 years and was conceived as a kind of counterweight to statistical m...
The concept of the semantic web is present in information science discourse for more than 13 years and was conceived as a kind of counterweight to statistical methods for analysis of web corpuses, which stood behind the success of companies such as Google or Yahoo. In contrast to a statistical approaches it should lead to a better machine processing of data on the web through semantic layers (and formalization) added by man. In recent years, however, we are witnessing a gradual convergence between the semantic and the "statistical" web. Thanks to the efforts of initiatives such Schema.org there is a gradual progress not only in the standardization of the micro-data, but also to their massive deployment.
Presentation from Semantic Web in Business Conference (an international conference on the use of semantic data, linked data, microformats implementation) which was held in Prague in September 2013.
http://damepraci.eu/conference
wn.com/Swib Josef Šlerka Corpus Viewer Ontology Learning From Text
The concept of the semantic web is present in information science discourse for more than 13 years and was conceived as a kind of counterweight to statistical methods for analysis of web corpuses, which stood behind the success of companies such as Google or Yahoo. In contrast to a statistical approaches it should lead to a better machine processing of data on the web through semantic layers (and formalization) added by man. In recent years, however, we are witnessing a gradual convergence between the semantic and the "statistical" web. Thanks to the efforts of initiatives such Schema.org there is a gradual progress not only in the standardization of the micro-data, but also to their massive deployment.
Presentation from Semantic Web in Business Conference (an international conference on the use of semantic data, linked data, microformats implementation) which was held in Prague in September 2013.
http://damepraci.eu/conference
- published: 03 Mar 2014
- views: 489
How to Build a Text Mining, Machine Learning Document Classification System in R!
- Order: Reorder
- Duration: 26:02
- Updated: 16 May 2012
- views: 77972
We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify ...
We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
wn.com/How To Build A Text Mining, Machine Learning Document Classification System In R
We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
- published: 16 May 2012
- views: 77972
Discovery of Treatments from Text Corpora
- Order: Reorder
- Duration: 23:27
- Updated: 29 Apr 2016
- views: 41
Justin Grimmer, Stanford University
New Directions in Computational Social Science & Data Science
https://simons.berkeley.edu/talks/Justin-Grimmer-2016-04-25
Justin Grimmer, Stanford University
New Directions in Computational Social Science & Data Science
https://simons.berkeley.edu/talks/Justin-Grimmer-2016-04-25
wn.com/Discovery Of Treatments From Text Corpora
Justin Grimmer, Stanford University
New Directions in Computational Social Science & Data Science
https://simons.berkeley.edu/talks/Justin-Grimmer-2016-04-25
- published: 29 Apr 2016
- views: 41
MICASE: The Michigan Corpus of Academic Spoken English
- Order: Reorder
- Duration: 38:40
- Updated: 03 Jul 2013
- views: 1450
Presented by Ute Römer & Stefanie Wulff at the University of Michigan English Language Institute on Dec 6th, 2007. For more info see: http://micase.elicorpora.i...
Presented by Ute Römer & Stefanie Wulff at the University of Michigan English Language Institute on Dec 6th, 2007. For more info see: http://micase.elicorpora.info/
wn.com/Micase The Michigan Corpus Of Academic Spoken English
Presented by Ute Römer & Stefanie Wulff at the University of Michigan English Language Institute on Dec 6th, 2007. For more info see: http://micase.elicorpora.info/
- published: 03 Jul 2013
- views: 1450
Open and Exploratory Extraction of Relations and Common Sense from Large Text Corpora - Alan Akbik
- Order: Reorder
- Duration: 51:08
- Updated: 26 Nov 2014
- views: 525
Alan Akbik November 10, 2014
Title: Open and Exploratory Extraction of Relations (and Common Sense) from Large Text Corpora
Abstract: The use of deep syntactic...
Alan Akbik November 10, 2014
Title: Open and Exploratory Extraction of Relations (and Common Sense) from Large Text Corpora
Abstract: The use of deep syntactic information such as typed dependencies has been shown to be very effective in Information Extraction (IE). Despite this potential, the process of manually creating rule-based information extractors that operate on dependency trees is not intuitive for persons without an extensive NLP background. In this talk, I present an approach and a graphical tool that allows even novice users to quickly and easily define extraction patterns over dependency trees and directly execute them on a very large text corpus. This enables users to explore a corpus for structured information of interest in a highly interactive and data-guided fashion, and allows them to create extractors for those semantic relations they find interesting. I then present a project in which we use Information Extraction to automatically construct a very large common sense knowledge base. This knowledge base - dubbed "The Weltmodell" - contains common sense facts that pertain to proper noun concepts; an example of this is the concept "coffee", for which we know that it is typically drunk by a person or brought by a waiter. I show how we mine such information from very large amounts of text, how we quantify notions such as typicality and similarity, and discuss some ideas how such world knowledge can be used to address reasoning tasks.
wn.com/Open And Exploratory Extraction Of Relations And Common Sense From Large Text Corpora Alan Akbik
Alan Akbik November 10, 2014
Title: Open and Exploratory Extraction of Relations (and Common Sense) from Large Text Corpora
Abstract: The use of deep syntactic information such as typed dependencies has been shown to be very effective in Information Extraction (IE). Despite this potential, the process of manually creating rule-based information extractors that operate on dependency trees is not intuitive for persons without an extensive NLP background. In this talk, I present an approach and a graphical tool that allows even novice users to quickly and easily define extraction patterns over dependency trees and directly execute them on a very large text corpus. This enables users to explore a corpus for structured information of interest in a highly interactive and data-guided fashion, and allows them to create extractors for those semantic relations they find interesting. I then present a project in which we use Information Extraction to automatically construct a very large common sense knowledge base. This knowledge base - dubbed "The Weltmodell" - contains common sense facts that pertain to proper noun concepts; an example of this is the concept "coffee", for which we know that it is typically drunk by a person or brought by a waiter. I show how we mine such information from very large amounts of text, how we quantify notions such as typicality and similarity, and discuss some ideas how such world knowledge can be used to address reasoning tasks.
- published: 26 Nov 2014
- views: 525
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3:21
How to build a corpus (text formats)
A brief description of how to handle different text formats when building a corpus in corp...
published: 25 Mar 2015
How to build a corpus (text formats)
How to build a corpus (text formats)
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- published: 25 Mar 2015
- views: 747
6:02
Text Corpus Analysis - PoolParty Tutorial #21
The latest version 4 of PoolParty Thesaurus Server (http://www.poolparty.biz/) offers a fu...
published: 30 Aug 2013
Text Corpus Analysis - PoolParty Tutorial #21
Text Corpus Analysis - PoolParty Tutorial #21
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- published: 30 Aug 2013
- views: 2255
18:44
GraphSearch & Text Corpus Analysis - PoolParty 5.2
See how PoolParty's taxonomy management methodology (https://www.poolparty.biz) is now sup...
published: 25 Nov 2015
GraphSearch & Text Corpus Analysis - PoolParty 5.2
GraphSearch & Text Corpus Analysis - PoolParty 5.2
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31:36
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
PyData London 2016
Deep Boltzmann machines (DBMs) are exciting for a variety of reasons, ...
published: 09 May 2016
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
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- published: 09 May 2016
- views: 475
3:27
Third Eye Playthrough - Text Corpus
Check out or Band Camp at http://textcorpus.bandcamp.com/
published: 02 Nov 2013
Third Eye Playthrough - Text Corpus
Third Eye Playthrough - Text Corpus
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- published: 02 Nov 2013
- views: 105
33:36
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
PyData Madrid 2016
Most of the talks and workshop tutorials can be found here: https://gi...
published: 05 May 2016
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
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- published: 05 May 2016
- views: 353
4:09
Text versus corpus
A brief screencast about the difference between looking at linguistic data as 'text' or as...
published: 25 Mar 2015
Text versus corpus
Text versus corpus
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- published: 25 Mar 2015
- views: 149
0:42
Learner Corpus with Text Based Concordance
Analyse Learner Corpus
http://www.lextutor.ca/concordancers/text_concord/
published: 27 Jun 2013
Learner Corpus with Text Based Concordance
Learner Corpus with Text Based Concordance
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- published: 27 Jun 2013
- views: 196
21:05
Interoperability of Text Corpus Annotations with the Semantic Web
Original version is http://togotv.dbcls.jp/20150321.html
Biomedical Linked Annotation Hac...
published: 09 Jun 2015
Interoperability of Text Corpus Annotations with the Semantic Web
Interoperability of Text Corpus Annotations with the Semantic Web
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- published: 09 Jun 2015
- views: 88
8:17
Text Corpus Album Teaser
Album out soon
published: 15 Jul 2013
Text Corpus Album Teaser
Text Corpus Album Teaser
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- published: 15 Jul 2013
- views: 138
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4:42
Mors De Corpus - Live 02/09/2016
published: 08 Sep 2016
Mors De Corpus - Live 02/09/2016
Mors De Corpus - Live 02/09/2016
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- published: 08 Sep 2016
- views: 30
7:15
Corpus linguistics
Corpus linguistics is the study of language as expressed in corpora of "real world" text.T...
published: 04 Sep 2016
Corpus linguistics
Corpus linguistics
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- published: 04 Sep 2016
- views: 0
1:20
Text and Corpus Analysis Computer Assisted Studies of Language and Culture Language in Society
published: 12 Aug 2016
Text and Corpus Analysis Computer Assisted Studies of Language and Culture Language in Society
Text and Corpus Analysis Computer Assisted Studies of Language and Culture Language in Society
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- published: 12 Aug 2016
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2:03
Updated ASL Corpus List
published: 11 Aug 2016
Updated ASL Corpus List
Updated ASL Corpus List
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- published: 11 Aug 2016
- views: 23
27:57
Sample Complexity of Learning Topic Models from Large Document Corpora
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published: 11 Aug 2016
Sample Complexity of Learning Topic Models from Large Document Corpora
Sample Complexity of Learning Topic Models from Large Document Corpora
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- published: 11 Aug 2016
- views: 4
1:48
Nederlab: how to compose a virtual research corpus
This screen cast shows how you can using searching in Nederlab to define your own research...
published: 06 Jul 2016
Nederlab: how to compose a virtual research corpus
Nederlab: how to compose a virtual research corpus
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- published: 06 Jul 2016
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45:17
Corpus linguistics and the challenges of close and distant reading
http://www.birmingham.ac.uk/elal
The 11th Sinclair Lecture was delivered by Professor Mic...
published: 22 Jun 2016
Corpus linguistics and the challenges of close and distant reading
Corpus linguistics and the challenges of close and distant reading
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- published: 22 Jun 2016
- views: 136
15:08
2.4 Corpus Management Basics
In this PoolParty Academy (https://www.poolparty.biz/academy/) learning tutorial we introd...
published: 20 Jun 2016
2.4 Corpus Management Basics
2.4 Corpus Management Basics
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- published: 20 Jun 2016
- views: 165
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27:37
The Colorado Richly Announced Full Text Corpus
Presented by Kevin B Cohen
published: 05 Sep 2013
The Colorado Richly Announced Full Text Corpus
The Colorado Richly Announced Full Text Corpus
- Report rights infringement
- published: 05 Sep 2013
- views: 30
22:52
SWIB Josef Šlerka - Corpus Viewer: Ontology Learning from Text
The concept of the semantic web is present in information science discourse for more than ...
published: 03 Mar 2014
SWIB Josef Šlerka - Corpus Viewer: Ontology Learning from Text
SWIB Josef Šlerka - Corpus Viewer: Ontology Learning from Text
- Report rights infringement
- published: 03 Mar 2014
- views: 489
26:02
How to Build a Text Mining, Machine Learning Document Classification System in R!
We show how to build a machine learning document classification system from scratch in les...
published: 16 May 2012
How to Build a Text Mining, Machine Learning Document Classification System in R!
How to Build a Text Mining, Machine Learning Document Classification System in R!
- Report rights infringement
- published: 16 May 2012
- views: 77972
23:27
Discovery of Treatments from Text Corpora
Justin Grimmer, Stanford University
New Directions in Computational Social Science & Data ...
published: 29 Apr 2016
Discovery of Treatments from Text Corpora
Discovery of Treatments from Text Corpora
- Report rights infringement
- published: 29 Apr 2016
- views: 41
38:40
MICASE: The Michigan Corpus of Academic Spoken English
Presented by Ute Römer & Stefanie Wulff at the University of Michigan English Language Ins...
published: 03 Jul 2013
MICASE: The Michigan Corpus of Academic Spoken English
MICASE: The Michigan Corpus of Academic Spoken English
- Report rights infringement
- published: 03 Jul 2013
- views: 1450
51:08
Open and Exploratory Extraction of Relations and Common Sense from Large Text Corpora - Alan Akbik
Alan Akbik November 10, 2014
Title: Open and Exploratory Extraction of Relations (and Comm...
published: 26 Nov 2014
Open and Exploratory Extraction of Relations and Common Sense from Large Text Corpora - Alan Akbik
Open and Exploratory Extraction of Relations and Common Sense from Large Text Corpora - Alan Akbik
- Report rights infringement
- published: 26 Nov 2014
- views: 525
The Colorado Richly Announced Full Text Corpus...
SWIB Josef Šlerka - Corpus Viewer: Ontology Learni...
How to Build a Text Mining, Machine Learning Docum...
Discovery of Treatments from Text Corpora...
MICASE: The Michigan Corpus of Academic Spoken Eng...
Open and Exploratory Extraction of Relations and C...
photo: US Navy / James E. Brooks
VIDEO:First Ever Tropical Storm Forms Over Florida
Edit WorldNews.com 15 Sep 2016
Tropical Storm Julia is a fairly benign storm aside from the flood advisories for parts of South Carolina and Georgia, but on Tuesday night it also became the first storm since record keeping started to form over land, according to NBC News. The 10th named storm of the 2016 Atlantic hurricane season is currently headed north after the abnormal beginning since only 2 percent of all tropical cyclones form over land ... ....
photo: AP / Lionel Cironneau
Bank of America thinks there's a 50% chance we live in a Matrix
Edit Business Insider 14 Sep 2016
Warner Bros. Entertainment. Analysts at Bank of America have reportedly suggested there is a 20 to 50 per cent chance our world is a Matrix-style virtual reality and everything we experience is just a simulation. The report, which was issued to clients, also implies even if our world was an illusion, we would never know about it ... BANK OF AMERICA ... Its claims also appeal to the work of a philosophy professor from the University of Oxford ... ....
photo: AP / Carlos Osorio, FILE
Those Who Proclaim The Republic Become Assassins Of Freedom
Edit WorldNews.com 14 Sep 2016
Article by WN.com Correspondent Dallas DarlingWhat do Sasha Avonna Bell and Sacorya Renee, two activists who filed a lawsuit in the Flint Water Crisis after their children got lead poisoning and became ill, have in common?If you said they believed the right to sue a corporation with ties to Hillary Clinton was more important than even their lives, your were accurate.1 ... Reflections on Faith, Politics, Spirituality, History, and Peace ... ....
photo: Creative Commons / Nathania Johnson
[VIDEO]: Clinton Doctor Releases Additional Medical Records, Confirms Pneumonia
Edit WorldNews.com 14 Sep 2016
Seeking to allay fears she is more sick than her campaign is letting on, Hillary Clinton’s campaign released additional medical information Wednesday after questions about her health intensified in the wake of her pneumonia diagnosis late last week, CNN reported ... Dr ... According to Bardack, "The remainder of her complete physical exam was normal and she is in excellent mental condition." ... "My overall impression is that Mrs ... ....
photo: WN / Renzelle Mae Abasolo
[VIDEO] Hearing-Impaired Teen Reacts To Hearing Her Mother's Voice Clearly For The First Time
Edit WorldNews.com 15 Sep 2016« back to news headlines
Plant blast kills 1, injures 1 in southern Texas
Edit Xinhua 15 Sep 2016
The man who died was confirmed to be 53-year-old Jose de la Torre of Corpus Christi, according to the report....
Major Irish Studies Conference Comes to Big Sky Country Oct. 20-22 (The University of Montana)
Edit Public Technologies 15 Sep 2016
(Source. The University of Montana) ... The conference's theme is 'Her Exiled Children. Ireland and Irish America.' ... 20-22 ... 20, and will be led by UM Professor Emeritus of History Dave Emmons, author of the seminal texts 'The Butte Irish' and 'Beyond the American Pale.' ... Ní Dhomhnaill will read from her large corpus of original poems and will share family stories and the memories they left from living and working in Montana ... ### ... (noodl....
Hyperlinks to antiquity
Edit Science Daily 15 Sep 2016
Until the 18th century, Latin annotations of well-known classical texts were an important source of scientific knowledge, but over the course of time the texts lost their authority. Now a classical scholar re-examines the annotations of Virgil's Aeneid ... ....
HC crackdown on touts in the guise of advocate clerks
Edit The Hindu 15 Sep 2016
A Division Bench of Justices S. Nagamuthu and M.V ... It was during the hearing of a habeas corpus petition (HCP) that the judges came to know that some of the young lawyers in the High Court had been engaging touts, operating as unregistered clerks, to file cases and the latter were indulging in misdeeds such as filing cases without the consent of the litigants and affixing forged signatures in court documents ... Mr ... Enquiry ... ....
EU Commission Proposes Mandatory Piracy Filters For Online Services
Edit Slashdot 15 Sep 2016
An anonymous reader quotes a report from TorrentFreak ... "The text that was launched today includes a proposal to potentially filter all uploads to the Internet in Europe. The draft text would destroy users' rights and legal certainty for European hosting companies," EDRi notes ... ....
Here's how to use 'invisible ink' in iMessage
Edit Mashable 15 Sep 2016
Then, use 3D Touch (or just hold down if you have an older iPhone) on the send button to bring up the menu for changing the look of your text ... Of course, it's important to keep in mind that these features will only work with iMessage, not if you're texting a friend who uses Android or another type of device ......
Persons of Interest Sought in a Robbery of an Establishment (Fear): 3800 Block of 12th Street, Northeast (MPDC - Metropolitan Police Department)
Edit Public Technologies 15 Sep 2016
(Source. MPDC - Metropolitan Police Department) ... Two suspects entered the establishment, threatened the employee, and demanded prescription drugs. The employee complied and the two suspects fled the location with assorted prescription drugs ... Additionally, information may be submitted to the TEXT TIP LINE by text messaging 50411 ... ### ... (noodl. 35365976) ....
Judge said I couldn’t read religious quotes — so I wore them
Edit New York Post 15 Sep 2016
Fashion Week’s craziest moment wasn’t at the Kanye West show — it was in Brooklyn Supreme Court, where a drug suspect who had been banned from reading Talmudic quotations at a pre-trial hearing showed up in an outfit made entirely out of religious texts ... read passages from his Jewish texts into the court record at an earlier pre-trial hearing....
Team USA Claims First Place in the 1996 World Cup of Hockey (USA Hockey Inc)
Edit Public Technologies 15 Sep 2016
(Source. USA Hockey Inc) ... The World Cup of Hockey, a joint effort of the National Hockey League and the National Hockey League Players' Association in cooperation with the International Ice Hockey Federation, was played Aug ... Louis Blues / Belleville, Ontario) scored a power-play goal off of assists from Team USA captain Brian Leetch (New York Rangers / Corpus Christi, Texas) and forward Doug Weight (Edmonton Oilers / Warren, Mich.)....
WhatsApp and Skype are facing EU scrutiny
Edit Business Insider 15 Sep 2016
The European Commission (EC) is set to expand some of its telecom security regulations to encompass over-the-top (OTT) voice and text services like Apple’s FaceTime, Skype, and WhatsApp, according to Reuters ... Other proposed regulations will include extending security obligations to OTT services that are considered on par with traditional phone calls and text messages....
Texting rallies to win Belmont feature
Edit The News & Observer 15 Sep 2016
Texting beat Earring by a neck Wednesday in the $77,000 allowance feature for fillies and mares on the turf at Belmont Park ... ....
Corporal Cameron Baird VC remembered at Australian War Memorial
Edit Topix 15 Sep 2016
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