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2. Reverso (language tools) - Wikipedia

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

   Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances , grammar and spell checking and conjugation tools.

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. Yandex Translate - Wikipedia

   en.wikipedia.org/wiki/Yandex_Translate

   Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]

5. Lilt (company) - Wikipedia

   en.wikipedia.org/wiki/Lilt_(company)

   LILT was founded in 2015 by Spence Green and John DeNero. The company executes text, digital, audio, and video translations. Unlike other translation platforms and software, LILT uses a "human-in-the-loop" system, where a human translator can modify a word when he/she encounters it.

6. Machine translation - Wikipedia

   en.wikipedia.org/wiki/Machine_translation

   Word-sense disambiguation concerns finding a suitable translation when a word can have more than one meaning. The problem was first raised in the 1950s by Yehoshua Bar-Hillel. [33] He pointed out that without a "universal encyclopedia", a machine would never be able to distinguish between the two meanings of a word. [34]

7. Rule-based machine translation - Wikipedia

   en.wikipedia.org/wiki/Rule-based_machine_translation

   Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively.