Class-based n-gram models of natural language
Computational Linguistics
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Exploring asymmetric clustering for statistical language modeling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Factored language models and generalized parallel backoff
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Automatic learning of language model structure
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Implicitly supervised language model adaptation for meeting transcription
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Prosodic and temporal features for language modeling for dialog
Speech Communication
Influence relation estimation based on lexical entrainment in conversation
Speech Communication
| Hi-index | 0.00 |
In conventional language modeling, the words from only one speaker at a time are represented, even for conversational tasks such as meetings and telephone calls. In a conversational or meeting setting, however, speakers can have significant influence on each other. To recover such un-modeled inter-speaker information, we introduce an approach for conversational language modeling that considers words from other speakers when predicting words from the current one. By augmenting a normal trigram context, our new multi-speaker language model (MSLM) improves on both Switchboard and ICSI Meeting Recorder corpora. Using an MSLM and a conditional mutual information based word clustering algorithm, we achieve a 8.9% perplexity reduction on Switchboard and a 12.2% reduction on the ICSI Meeting Recorder data.