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English-Japanese Example-Based Machine Translation Using Abstract Linguistic Representations

Overview This paper describes an example-based English-Japanese machine translation system in which an abstract linguistic representation layer is used to extract and store bilingual translation knowledge, transfer patterns between languages, and generate output strings. Abstraction permits structural neutralizations that facilitate learning of translation examples across languages with radically different surface structure characteristics, and allows MT development to proceed within a largely language-independent NLP architecture.

Further White Paper Details
Publisher	Microsoft	File Format	PDF, requires Acrobat Rdr 5
Date Published	July 2002	Downloads	133
Format	White Papers
Topics	Web Development and Design, Automated Translation, Web Services

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