Web Text Data Mining for Building Large Scale Language Modelling Corpus-Reference-Cited by-同舟云学术

Web Text Data Mining for Building Large Scale Language Modelling Corpus

Published:2011 Issue: Volume: Page:356-363
ISSN:0302-9743
Container-title:Text, Speech and Dialogue
language:
Short-container-title:

Author:

Švec Jan,Hoidekr Jan,Soutner Daniel,Vavruška Jan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-23538-2_45

Reference11 articles.

1. Lecture Notes in Artificial Intelligence;L. Müller,2000

2. Seymore, K., Rosenfeld, R.: Using story topics for language model adaptation. In: Proc. Eurospeech, vol. 97, pp. 1987–1990 (1997)

3. Bulyko, I., Ostendorf, M., Siu, M., Ng, T., Stolcke, A., Çetin, O.: Web resources for language modeling in conversational speech recognition. ACM Trans. Speech Lang. Process. 5 (2007)

4. Lecture Notes in Artificial Intelligence;J. Matoušek,2007

5. Spoustová, D., Spousta, M., Pecina, P.: Building a Web Corpus of Czech. In: Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC 2010), Valletta, Malta (2010)

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