Twisted pair grammar: Support for rapid development of machine translation for low density languages

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Abstract

We describe a streamlined knowledge acquisition method for semi-automatically constructing knowledge bases for a Knowledge Based Machine Translation (KBMT) system. This method forms the basis of a very simple Java-based user interface that enables a language expert to build lexical and syntactic transfer knowledge bases without extensive specialized training as an MT system builder. Following [Wu 1997], we assume that the permutation of binary-branching structures is a sufficient reordering mechanism for MT. Our syntactic knowledge is based on a novel, highly constrained grammar construction environment in which the only re-ordering mechanism is the permutation of binary-branching structures (Twisted Pair Grammar). We describe preliminary results for several fully implemented components of a Hindi/Urdu to English MT prototype being built with this interface.1.

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Jones, D., & Havrilla, R. (1998). Twisted pair grammar: Support for rapid development of machine translation for low density languages. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1529, pp. 318–332). Springer Verlag. https://doi.org/10.1007/3-540-49478-2_29

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