Information-based syntax and semantics: Vol. 1: fundamentals
Information-based syntax and semantics: Vol. 1: fundamentals
Parsing spoken language: a semantic caseframe approach
COLING '86 Proceedings of the 11th coference on Computational linguistics
Chart parsing according to the slot and filler principle
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Island parsing and bidirectional charts
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Event relations at the phonetics/phonology interface
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
Lattice parsing to integrate speech recognition and rule-based machine translation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
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In this paper, an augmented chart data structure with efficient word lattice parsing scheme in speech recognition applications is proposed. The augmented chart and the associated parsing algorithm can represent and parse very efficiently a lattice of word hypotheses produced in speech recognition with high degree of lexical ambiguity without changing the fundamental principles of chart parsing. Every word lattice can be mapped to the augmented chart with the ordering and connection relation among word hypotheses being well preserved in the augmented chart. A jump edge is defined to link edges representing word hypotheses physically separated but practically possible to be connected. Preliminary experimental results show that with the augmented chart parsing all possible constituents of the input word lattice can be constructed and no constituent needs to be built more than once. This will reduce the computation complexity significantly especially when serious lexical ambiguity exists in the input word lattice as in many speech recognition problems. This augmented chart parsing is thus a very useful and efficient approach to language processing problems in speech recognition applications.