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  2. Japanese honorifics - Wikipedia

    en.wikipedia.org/wiki/Japanese_honorifics

    The Japanese language makes use of a system of honorific speech, called keishō (敬称), which includes honorific suffixes and prefixes when talking to, or referring to others in a conversation. Suffixes are often gender-specific at the end of names, while prefixes are attached to the beginning of many nouns.

  3. Otokonoko - Wikipedia

    en.wikipedia.org/wiki/Otokonoko

    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.

  4. Honorific speech in Japanese - Wikipedia

    en.wikipedia.org/wiki/Honorific_speech_in_Japanese

    Japanese uses honorific constructions to show or emphasize social rank, social intimacy or similarity in rank. The choice of pronoun used, for example, will express the social relationship between the person speaking and the person being referred to, and Japanese often avoids pronouns entirely in favor of more explicit titles or kinship terms.

  5. Kansai dialect - Wikipedia

    en.wikipedia.org/wiki/Kansai_dialect

    Jibun is a Japanese word meaning "oneself" and sometimes "I", but it has an additional usage in Kansai as a casual second-person pronoun. In traditional Kansai dialect, the honorific suffix -san is sometimes pronounced -han when -san follows a, e and o; for example, okaasan ("mother") becomes okaahan, and Satō-san ("Mr. Satō") becomes Satō-han

  6. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    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]

  7. Google Neural Machine Translation - Wikipedia

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

    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 ...

  8. Gyūdon - Wikipedia

    en.wikipedia.org/wiki/Gyūdon

    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. Obake - Wikipedia

    en.wikipedia.org/wiki/Obake

    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.