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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a multilingual neural machine translation service developed by Google to ... Bulgarian, Chinese, Greek, Hindi, Japanese, Korean, Russian, Thai and ...

  3. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    The GNMT system was said to represent an improvement over the former Google Translate in that it will be able to handle "zero-shot translation", that is it directly translates one language into another. For example, it might be trained just for Japanese-English and Korean-English translation, but can perform Japanese-Korean translation.

  4. Special Law to Redeem Pro-Japanese Collaborators' Property

    en.wikipedia.org/wiki/Special_law_to_redeem_pro...

    The Special Law to Redeem Pro-Japanese Collaborators' Property (Korean: 친일반민족행위자재산의국가귀속에관한특별법) is a policy passed by the South Korean National Assembly on December 8, 2005, and enacted on December 29, 2005.

  5. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    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.

  6. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    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.

  7. Comparison of Japanese and Korean - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_Japanese_and...

    Korean and Japanese both have an agglutinative morphology in which verbs may function as prefixes [15] and a subject–object–verb (SOV) typology. [16] [17] [18] They are both topic-prominent, null-subject languages. Both languages extensively utilize turning nouns into verbs via the "to do" helper verbs (Japanese suru する; Korean hada ...

  8. Itadakimasu - Wikipedia

    en.wikipedia.org/wiki/Itadakimasu

    View a machine-translated version of the Japanese 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.

  9. Keijō - Wikipedia

    en.wikipedia.org/wiki/Keijō

    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. Do not translate text that appears unreliable or low-quality.

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