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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 ]
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 ...
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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.
Linguistic frequency is a vague phrase that can be used in reference to either: Word frequency , frequency of words in a given corpus Letter frequency , the frequency of letters of a given language
WP:EL#Non-English language content advises against linking to non-English content from articles in the English Wikipedia, but does not forbid it in all cases.Links to machine-translated pages from articles may lead to disputes with other editors, who may feel the quality of translation is insufficient to create a reliable source.
Statistical machine translation usually works less well for language pairs with significantly different word order. The benefits obtained for translation between Western European languages are not representative of results for other language pairs, owing to smaller training corpora and greater grammatical differences.
The word frequency effect changes how the brain encodes the information. Readers began spelling the higher frequency words faster than the lower frequency words when spelling the words from dictation. The length of saccade varies depending on the frequency of words and the validity of the previous (preview) word in predicting the target word. [5]