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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.
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 ...
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 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.
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]
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]
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Learning a foreign language: Learning a foreign language can be made easier and less expensive using a mobile device equipped with real time machine translation. Statistics reveal that most college students own mobile phones and find that learning a foreign language via mobile phone proves to be cheaper than on a PC .
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