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  2. 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 ...

  3. 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.

  4. 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]

  5. Reverso (language tools) - Wikipedia

    en.wikipedia.org/wiki/Reverso_(language_tools)

    Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.

  6. 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.

  7. Naver Dictionary - Wikipedia

    en.wikipedia.org/wiki/Naver_Dictionary

    The dictionary supported 19 languages in 2019, [2] 37 by 2016. [3] During that time, Naver Dictionary began operating a Vietnamese-Korean dictionary; the dictionary reportedly was used by 32.6% of mobile users in Vietnam. [1] It supported 41 languages by 2018, [4] and 55 languages by 2021, [7] including Greek, Burmese, Tetum, and Hebrew. [12]

  8. Translate (Apple) - Wikipedia

    en.wikipedia.org/wiki/Translate_(Apple)

    Translate is a translation app developed by Apple for their iOS and iPadOS devices. Introduced on June 22, 2020, it functions as a service for translating text sentences or speech between several languages and was officially released on September 16, 2020, along with iOS 14 .

  9. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    A 2018 paper by the University of Bologna evaluated the Italian-to-German translation capabilities and found the preliminary results to be similar in quality to Google Translate. [42] In September 2021, Slator remarked that the language industry response was more measured than the press and noted that DeepL is still highly regarded by users. [43]