Alba (disambiguation)

Alba is the Scottish Gaelic name for Scotland.

ALBA is the Bolivarian Alliance for the Peoples of our Americas.

Alba (Latin: white) or ALBA may also refer to:

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Alba

Alba is the Scottish Gaelic name (pronounced [ˈal̪ˠapə]) for Scotland. It is cognate to Alba (gen. Albann, dat. Albainn) in Irish and Nalbin in Manx, the two other Goidelic Insular Celtic languages, as well as words in the Brythonic Insular Celtic languages of Cornish (Alban) and Welsh (Yr Alban) that also, in modern practice, are the Goidelic and Brythonic names for Scotland; although in the past they were names for Britain as a whole related to the Brythonic name Albion.

Etymology

The term first appears in classical texts as Ἀλβίων Albíon or Ἀλουΐων Alouíon (in Ptolemy's writings in Greek), later as Albion in Latin documents. Historically, the term refers to Britain as a whole and is ultimately based on the Indo-European root for "white". It later came to be used by Gaelic speakers in the form of Alba (dative Albainn, genitive Albann, now obsolete) as the name given to the former kingdom of the Picts which had by the time of its first usage with this meaning, expanded around the time of king Causantín mac Áeda (Constantine II, 943-952). The region Breadalbane (Bràghad Albann, the upper part of "Alba") takes its name from it as well.

Word-sense disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology. WSD is identifying which sense of a word (i.e. meaning) is used in a sentence, when the word has multiple meanings. The solution to this problem impacts other computer-related writing, such as discourse, improving relevance of search engines, anaphora resolution, coherence, inference et cetera.

The human brain is quite proficient at word-sense disambiguation. The fact that natural language is formed in a way that requires so much of it is a reflection of that neurologic reality. In other words, human language developed in a way that reflects (and also has helped to shape) the innate ability provided by the brain's neural networks. In computer science and the information technology that it enables, it has been a long-term challenge to develop the ability in computers to do natural language processing and machine learning.

To date, a rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing word senses. Among these, supervised learning approaches have been the most successful algorithms to date.