Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Exploiting syntactic structure for natural language modeling
Exploiting syntactic structure for natural language modeling
Probabilistic top-down parsing and language modeling
Computational Linguistics
More accurate tests for the statistical significance of result differences
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Discriminative Reranking for Natural Language Parsing
Computational Linguistics
Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A TAG-based noisy channel model of speech repairs
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Discriminative language modeling with conditional random fields and the perceptron algorithm
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Discriminative syntactic language modeling for speech recognition
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Effective use of prosody in parsing conversational speech
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Discriminative n-gram language modeling
Computer Speech and Language
Parsing conversational speech using enhanced segmentation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
SWITCHBOARD: telephone speech corpus for research and development
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Enriching speech recognition with automatic detection of sentence boundaries and disfluencies
IEEE Transactions on Audio, Speech, and Language Processing
Recent innovations in speech-to-text transcription at SRI-ICSI-UW
IEEE Transactions on Audio, Speech, and Language Processing
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Abstract: Evaluation and optimization of automatic speech recognition (ASR) and parsing systems are often done separately. In the context of spoken language processing, however, these problems may be explored jointly via a reranking architecture. In this work, the effects of reranking for word error rate (WER) or reranking for the Sparseval parse-quality measure are examined in conversational speech recognition, while considering the impact of automatic segmentation. Under a WER criterion, the results indicate that the parse language model alone provides little benefit over a large n-gram model, but adding non-local syntactic features leads to improved performance. Under a Sparseval criterion, it is shown that including alternative word-sequence hypotheses has a much greater impact on parse accuracy than including alternate parse hypotheses. In both cases, the biggest performance improvements are obtained with high quality sentence segmentations. Qualitative analyses show that parse features help recover pronouns and improve recognition of main verbs.