Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Weighted rational transductions and their application to human language processing
HLT '94 Proceedings of the workshop on Human Language Technology
Named entity tagged language models
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Spoken information extraction from Italian broadcast news
ECIR'03 Proceedings of the 25th European conference on IR research
The ITC-irst news on demand platform
ECIR'03 Proceedings of the 25th European conference on IR research
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This paper presents the development of a Named Entity (NE) recognition system for the Italian broadcast news domain. A statistical model is introduced based on a trigram language model defined on words and NE classes. The estimation of the NE model is carried out with a very little list of 2,360 manually tagged NEs and a large untagged newspaper corpus. An iterative training procedure is applied which goes through the estimation of simpler models, whose parameters are used to initialize the complete NE model. In the end, NE recognition experiments are reported, on broadcast news transcripts generated by a speech recognition system.