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The topic–comment structure is an important sentence type in Vietnamese. Therefore, Vietnamese has often been claimed to be a topic-prominent language (Thompson 1991). As an example the sentence "Tôi đọc sách này rồi." ("I've already read this book.") can be transformed into the following topic prominent equivalent.
Non-VSO languages that use VSO in questions include English and many other Germanic languages such as German and Dutch, as well as French, Finnish, Maká, and Emilian. In languages with V2 word order, such as most Germanic languages except for Modern English, as well as Ingush and Oʼodham, the verb is always the second element in a main clause ...
Some languages use 'n-gram' data, [7] which is massive and requires considerable processing power and I/O speed, for some extra detections. As such, LanguageTool is also offered as a web service that does the processing of 'n-grams' data on the server-side.
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 ...
In linguistic typology, the object–subject–verb (OSV) or object–agent–verb (OAV) word order is a structure where the object of a sentence precedes both the subject and the verb. Although this word order is rarely found as the default in most languages, it does occur as the unmarked or neutral order in a few Amazonian languages ...
The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.
The gradual disuse of Latin opened an uneasy transition period as more and more works were only accessible in local languages. Many national European languages held the potential to become a language of science within a specific research field: some scholars "took measures to learn Swedish so they could follow the work of [the Swedish chemist] Bergman and his compatriots."
Lê Viết Quốc (born 1982), [1] or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he established with others from Google. He co-invented the doc2vec [2] and seq2seq [3] models in natural language processing.
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