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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.
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.
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.
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.
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]
Searching for words and sentences provides the corresponding signs within the target sign language. [3] Spreadthesign is available as a free access learning tool both as a website and an app. [ 4 ] [ 5 ] The project is largely supported by public institutions, public funding [ 6 ] and public partnerships, universities and academics. [ 7 ]
Korean standard sign language – manually coded spoken Korean. Macau Sign Language: Shanghai Sign Language "澳門手語" (MSL). Derives from the southern dialect of CSL. Malaysian Sign Language: ASL "Bahasa Isyarat Malaysia" (BIM) Maldivian Sign Language (Dhivehi Sign Language) Indian, ASL Maunabudhuk–Bodhe Sign Language: village: Nepal ...
GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2] With the large end-to-end framework, the system learns over time to create better, more natural translations. [1] GNMT attempts to translate whole sentences at a time, rather than just piece by piece. [1]