A Cache-Based Natural Language Model for Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integration of diverse recognition methodologies through reevaluation of N-best sentence hypotheses
HLT '91 Proceedings of the workshop on Speech and Natural Language
A dynamic language model for speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Benchmark tests for the DARPA Spoken Language Program
HLT '93 Proceedings of the workshop on Human Language Technology
A hybrid approach to adaptive statistical language modeling
HLT '94 Proceedings of the workshop on Human Language Technology
On using written language training data for spoken language modeling
HLT '94 Proceedings of the workshop on Human Language Technology
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
Improving language models by clustering training sentences
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Text segmentation with multiple surface linguistic cues
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Dynamic nonlocal language modeling via hierarchical topic-based adaptation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Language model adaptation with additional text generated by machine translation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Combining Topic Information and Structure Information in a Dynamic Language Model
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Topic-Dependent Language Model with Voting on Noun History
ACM Transactions on Asian Language Information Processing (TALIP)
Combining topic specific language models
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
On the dynamic adaptation of language models based on dialogue information
Expert Systems with Applications: An International Journal
Classifying the socio-situational settings of transcripts of spoken discourses
Speech Communication
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This paper introduces a simple mixture language model that attempts to capture long distance constraints in a sentence or paragraph. The model is an m-component mixture of trigram models. The models were constructed using a 5K vocabulary and trained using a 76 million word Wall Street Journal text corpus. Using the BU recognition system, experiments show a 7% improvement in recognition accuracy with the mixture trigram models as compared to using a trigram model.