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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface , a mobile app for Android and iOS , as well as an API that helps developers build browser extensions and software applications . [ 3 ]
Pros. The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation; Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives; Cons. Accuracy may not be sufficient for all uses, and human translation is still more accurate
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
The term Multilingual Information Retrieval (MLIR) involves the study of systems that accept queries for information in various languages and return objects (text, and other media) of various languages, translated into the user's language.
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To use Google Translator Toolkit first, users uploaded a file from their desktop or entered a URL of a web page or Wikipedia article that they want to translate. Google Translator Toolkit automatically 'pretranslated' the document. It divided the document into segments, usually sentences, headers, or bullets. Next, it searched all available ...
The JMdict project was started by computational linguist Jim Breen in 1991 with the creation of EDICT (a plain text flat file in EUC-JP encoding), which was later expanded to a UTF-8-encoded XML file in 1999 as JMdict. [2] The XML format allows for multiple surface forms of lexemes and multiple readings, as well as cross-references and annotations.