To train the systems, identifying word correspondences (or word alignments) is crucial. SMT systems rely on existing translated data to learn how to automatically translate from one language to another. This produces better translations in less time than other systems. In phrase-based SMT, the machine learns correspondence between languages from parallel text without the aid of linguist knowledge. Ongoing research in this area has produced improvements in word inflections and word ordering. Microsoft has used syntax-based SMT to translate much of its computer-related texts from English into multiple target languages. Syntax-based translation is based on the idea of translating syntactic units, rather than a word or string of words. Main article: Statistical machine translation Neural machine translation is the default translation method for the Microsoft Translator API. Second, the neural network translates this word model (not the word itself but the model the neural networks built of it), within the context of the sentence, into the other language. First, a first stage models the word that needs to be translated based on the context of this word (and its possible translations) within the full sentence. At a high-level, neural network translation works in two stages. Neural networks try to mimic how the brain works to translate between languages. This system is based on four distinct areas of computer learning research seen below. Microsoft Translator uses machine translation to create instantaneous translations from one natural language to another. Speech translation was integrated into Microsoft Speech services in September 2018, providing end-to-end speech, speech-to-text, and text-to-speech translation. In addition to translation, the new version features transliteration and a bilingual dictionary to look up words to find alternative translations and view examples in sentences. This new version offered neural machine translation as the default method of translating. In May 2018, an update to the API was introduced. An additional speech translation capability was introduced in March 2016. In 2011, the service was extended to include numerous Microsoft Translator products through a cloud-based application programming interface, which supports products available to both consumer and enterprise users. Text is translated directly within the Bing Translator webpage while websites are translated through the Bilingual Viewer tools. The consumer-facing translation site known as Bing Translator (previously known as Windows Live translator) was launched in 2007 and provides free text and website translations on the web. Microsoft's experience with the LF system led directly to a treelet translation system that simplified the LF to dependency trees and eventually to an order template model, significantly improving in speed and enabling the incorporation of new target languages. Microsoft's approach to machine translation, like most modern machine translation systems, is " data driven": Rather than relying on writing explicit rules to translate natural language, algorithms are trained to understand and interpret translated parallel texts, allowing them to automatically learn how to translate new natural language text. This system was eventually used to translate the entire Microsoft Knowledge Base into Spanish, French, German, and Japanese. This system was based on semantic predicate-argument structures known as logical forms (LF) and was spun from the grammar correction feature developed for Microsoft Word. The first version of Microsoft's machine translation system was developed between 19 within Microsoft Research. It also supports several speech translation systems that currently power the Microsoft Translator live conversation feature, Skype Translator, and Skype for Windows Desktop, and the Microsoft Translator Apps for iOS and Android. The service supports text translation between many languages and language varieties. Speech translation via Microsoft Speech services is offered based on the time of the audio stream. Service for text translation via the Translator Text API ranges from a free tier supporting two million characters per month to paid tiers supporting billions of characters per month. Microsoft Translator also offers text and speech translation through cloud services for businesses. Microsoft Translator is a part of Microsoft Cognitive Services and integrated across multiple consumer, developer, and enterprise products including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft Translator apps for Windows, Windows Phone, iPhone and Apple Watch, and Android phone and Android Wear. Microsoft Translator is a multilingual machine translation cloud service provided by Microsoft.
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