Morpho-Syntax Based Statistical Methods for Automatic Sign Language Translation.
作者： Jan Bungeroth , Hermann Ney , Daniel Stein
DOI:
关键词: Linguistics 、 Example-based machine translation 、 Machine translation software usability 、 Language identification 、 Natural language processing 、 Sign language 、 Rule-based machine translation 、 Computer science 、 Artificial intelligence 、 Machine translation 、 German 、 German Sign Language
摘要: We present a novel approach for the automatic translation of written text into sign language. A new corpus focussing on weather report domain language pair German and Sign Language is introduced. apply phrase-based statistical machine translation, enhanced by preand post-processing steps based morpho-syntactical analysis German. Detailed results are given manual evaluation.
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