An efficient augmented-context-free parsing algorithm
Computational Linguistics
End-to-End Evaluation in JANUS: A Speech-to-speech Translation System
ECAI '96 Workshop on Dialogue Processing in Spoken Language Systems
Discourse processing of dialogues with multiple threads
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
An integrated heuristic scheme for partial parse evaluation
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
The generalized LR parser/compiler V8-4: a software package for practical NL projects
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
Machine Translation
Statistical Translation of Text and Speech: First Results with the RWTH System
Machine Translation
Improving translation through contextual information
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
An interactive domain independent approach to robust dialogue interpretation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Optimal ambiguity packing in context-free parsers with interleaved unification
New developments in parsing technology
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
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JANUS is a multi-lingual speech-to-speech translation system designed to facilitate communication between two parties engaged in a spontaneous conversation in a limited domain. In an attempt to achieve both robustness and translation accuracy we use two different translation components: the GLR module, designed to be more accurate, and the Phoenix module, designed to be more robust. We analyze the strengths and weaknesses of each of the approaches and describe our work on combining them. Another recent focus has been on developing a detailed end-to-end evaluation procedure to measure the performance and effectiveness of the system. We present our most recent Spanish-to-English performance evaluation results.