A Rule Based Machine Translation Scheme from Greek to Greek Sign Language: Production of Different Types of Large Corporations
2018
One of the aims of Assistive Technologies is to help people with disabilities to communicate with
others and to provide means of access to information. As an aid to Deaf people, in this work we present a novel
prototype Rule Based Machine Translation (RBMT) system for the creation of large quality written Greek Sign
Language (GSL) glossed corpora. In particular, the proposed RBMT system supports the professional translator
of GSL to produce different kinds of GSL glossed corpus. Evaluation of the proposed scheme is carried out for
the weather reports domain, were 20,284 tokens and 1,000 sentences have been produced. By using the
BiLingual Evaluation Understudy (BLEU) metric score [32], our prototyped RBMT system achieves a
relative score of 84% for 4-gram evaluation and 90% for 1-gram
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