Lattice parsing to integrate speech recognition and rule-based machine translation

Authors:
Selçuk Köprü;Adnan Yazici
Affiliations:
AppTek, Inc., Ankara, Turkey;Middle East Technical University, Ankara, Turkey
Venue:
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Year:
2009

Citing 13
Cited 2

Algorithm schemata and data structures in syntactic processing

Readings in natural language processing
Modification of Earley's algorithm for speech recognition

Proceedings of the NATO Advanced Study Institute on Recent advances in speech understanding and dialog systems
An efficient probabilistic context-free parsing algorithm that computes prefix probabilities

Computational Linguistics
Foundations of statistical natural language processing

Foundations of statistical natural language processing
A Rational Design for a Weighted Finite-State Transducer Library

WIA '97 Revised Papers from the Second International Workshop on Implementing Automata
Exploiting syntactic structure for natural language modeling

Exploiting syntactic structure for natural language modeling
Probabilistic top-down parsing and language modeling

Computational Linguistics
An augmented chart data structure with efficient word lattice parsing scheme in speech recognition applications

COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Immediate-head parsing for language models

ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
A study on richer syntactic dependencies for structured language modeling

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
1993 benchmark tests for the ARPA spoken language program

HLT '94 Proceedings of the workshop on Human Language Technology
Best-first word-lattice parsing: techniques for integrated syntactic language modeling

Best-first word-lattice parsing: techniques for integrated syntactic language modeling
Attention shifting for parsing speech

ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

Multilingual video indexing and retrieval employing an information extraction tool for turkish news texts: a case study

FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
A semi-automatic text-based semantic video annotation system for Turkish facilitating multilingual retrieval

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a novel approach to integrate speech recognition and rule-based machine translation by lattice parsing. The presented approach is hybrid in two senses. First, it combines structural and statistical methods for language modeling task. Second, it employs a chart parser which utilizes manually created syntax rules in addition to scores obtained after statistical processing during speech recognition. The employed chart parser is a unification-based active chart parser. It can parse word graphs by using a mixed strategy instead of being bottom-up or top-down only. The results are reported based on word error rate on the NIST HUB-1 word-lattices. The presented approach is implemented and compared with other syntactic language modeling techniques.