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The odds are similar from other languages to English. Google Translate makes statistical guesses that raise the likelihood of producing the most frequent sense of a word, with the consequence that an accurate translation will be unobtainable in cases that do not match the majority or plurality corpus occurrence. The accuracy of single-word ...
Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.
The reception of DeepL Translator has been generally positive. TechCrunch appreciates it for the accuracy of its translations and stating that it was more accurate and nuanced than Google Translate. [3] Le Monde thank its developers for translating French text into more "French-sounding" expressions. [38]
Naver Dictionary contains many definitions of words, a Korean audio pronunciation service, [1] and easy searching and accessibility of words. [8] It partners with and shows results from other dictionaries, including the Oxford Dictionary of English, [9] Collins English Dictionary, [10] Wiktionary, and Urban Dictionary. [9]
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 ...
Flitto (Korean: 플리토) is a crowdsourcing translation platform where users can request or provide translations. Users are also able to read various online content in their native languages. The service supports text, image, and voice translations, and 1:1 translation in 25 different languages.
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.
View a machine-translated version of the Korean article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
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