Practical spoken language translation using compiled feature structure grammars
نویسندگان
چکیده
Practical work on spoken language translation must pursue two types of efficiency: computational efficiency, and “language engineering” efficiency. This paper describes the design, implementation, and evaluation of the GPL-based framework for spoken language translation that addresses both of these goals. In this framework, computational grammars are written in GPL, an easy-to-use imperative programming language that allows the direct expression of linguistic algorithms in terms of rewrite-grammars with feature structure tests and manipulations. Computational efficiency is achieved with the GPL compiler, which converts GPL grammars into efficient C routines, and with the GPL runtime environment, which provides services for linguistic representations, manipulation, and memory management. An evaluation of an English-Japanese spoken language translation system based on GPL shows that it is linguistically powerful, yet only requires reasonable computational resources.
منابع مشابه
Automatic extraction of differences between spoken and written languages, and automatic translation from the written to the spoken language
We extracted the di erences between spoken language and written language from a spoken-language corpus and a writtenlanguage corpus by using the UNIX command \di " and examined the di erences to determine the construction of the grammars of the two corpora. We also transformed written-language sentences into spoken-language sentences by using rules based on the extracted di erences.
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