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2. Top translation apps for travelers - AOL

   www.aol.com/news/top-translation-apps-travelers...

   Featuring over translation for more than 120 languages, this is one of the most robust free-to-use translation apps. You can translate via text, spoken word or images with Microsoft Translate, and ...

3. Machine translation of sign languages - Wikipedia

   en.wikipedia.org/wiki/Machine_translation_of...

   Sign language translation technologies are limited in the same way as spoken language translation. None can translate with 100% accuracy. In fact, sign language translation technologies are far behind their spoken language counterparts. This is, in no trivial way, due to the fact that signed languages have multiple articulators.

4. 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.

5. 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.

6. 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.

7. Sign language recognition - Wikipedia

   en.wikipedia.org/wiki/Sign_language_recognition

   Sign Language Recognition (shortened generally as SLR) is a computational task that involves recognizing actions from sign languages. [1] This is an essential problem to solve especially in the digital world to bridge the communication gap that is faced by people with hearing impairments.