Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation is a form of language translation automation that uses machine learning and deep learning models to deliver more accurate and more natural sounding translation than traditional statistical and rule-based translation algorithms. Amazon Translate allows you to easily translate large volumes of text efficiently, and to localize websites and applications for international users.
Benefits
Highly Accurate & Constantly Learning
Amazon Translate is the only service that offers 100% neural machine translation for all supported languages. The translation engine is always learning from new and expanded datasets to produce more accurate and fluent translations for a wide range of use cases.
Easy to Integrate into Your Applications
Amazon Translate removes the complexity of building real-time and batch translation capabilities into your applications with a simple API call. This makes it easy to localize an application or web site, or process multilingual data within your existing workflows.
Scalable
Whether it’s just a few words or large volumes of text, Amazon Translate scales easily as your translation needs grow. The service provides consistently fast and reliable translations, regardless of the volume of translation requests you make.
Machine Translation Use Cases
Accelerate web localization efforts
Provide just-in-time translation of user-generated content
Add real-time translation for communications applications
Amazon Translate can help fast-track your web localization projects. Starting the localization workflow with automated translation, linguists can focus their time on validating and refining the content for technical accuracy and cultural sensitivity. By applying Amazon Translate with human post-editing, you can achieve greater efficiency and scale at reduced costs.
It’s very difficult for human translation teams to keep up with dynamic or real-time content. With Amazon Translate, you can easily translate massive volumes of user-generated content in real-time. Social networks can automatically translate content such as feed stories, profile descriptions, and comments posted in different languages to the user's preferred language with a click of the “translate” button.
Amazon Translate can provide on-demand translation for your applications to enable cross-lingual communications between users. By adding real-time translation to chat, email, helpdesk, and ticketing applications, an English-speaking agent or employee can communicate with customers across multiple languages.
Customer References
Isentia, headquartered in Sydney, Australia, is a leading media-intelligence provider for the Asia-Pacific region. The company operates from 18 offices across the region and supports more than 5,000 clients worldwide, including 84 of the world’s top 100 brands. Isentia’s products help customers make more informed and timely business and communication decisions.
“At Isentia, we built our media intelligence software in a single language. To expand our capabilities and address the diverse language needs of our customers, we needed translation support to generate and deliver valuable insights from non-English media content. Having tried multiple Machine Translation services in the past, we are impressed with how easy it is to integrate Amazon Translate into our pipeline and its ability to scale to handle any volume we throw at it. The translations also came out more accurate and nuanced and met our high standards for clients.”
Andrea Walsh - CIO, Isentia
Hotels.com is a leading online accommodation booking website with properties ranging from international chains and all-inclusive resorts to local favorites and bed & breakfasts, together with all the information needed to book the perfect stay
“At Hotels.com, we are committed to offering all of our customers the most relevant and up to date information about their destination. To achieve that, we operate 90 localized websites in 41 languages. We have more than 25M Customer reviews and more are coming in every day, making a great candidate for machine translation. Having evaluated Amazon Translate and several other solutions, we believe that Amazon Translate presents a quick, efficient and most importantly, accurate solution. We want to take advantage of the latest advances in machine learning and the transition to Neural engines to further personalize and localize our reviews, and generally improve our customer experience. Amazon Translate is a step forward in that direction."
Matthew Fryer - VP and Chief Data Science Officer, Hotels.com
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