Using phonologically-constrained morphological analysis in continuous speech recognition

Computer Speech and Language

Volumn 16, Issue 2, 2002, Pages 165-181

  Huckvale, Mark ^a   Chengyu Fang, Alex ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; CONSTRAINT THEORY; DECODING; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH ANALYSIS; TEXT PROCESSING; WORD PROCESSING;

ACOUSTIC DECODING; LANGUAGE MODELLING; PHONOLOGICALLY CONSTRAINED MORPHOLOGICAL ANALYSIS; WORD ERROR RATE; WORD TRIGRAM MODELS;

CONTINUOUS SPEECH RECOGNITION;

EID: 0036556165     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1006/csla.2001.0187     Document Type: Article

References (18)

1. Beaujard, C. & Jardino, M. (1999). Language modelling based on automatic word concatenations. Proceedings of the European Conference on Speech Communication and Technology 99, Budapest, pp. 1563-1566.
2. Brown, P., Della Pietra, D., de Souza, P. & Mercer, R. (1992). Class-based n-gram models of natural language. Computational Linguistics, 18, 467-479.
3. Burnard, L. (1995). Users Reference Guide for the British National Corpus. Oxford University Computing Services, Oxford.
4. Carter, D., Kaja, J., Neumeyer, L., Rayner, M., Weng, F. & Wiren, M. (1996). Handling compound nouns in a Swedish speech-understanding system. Proceedings of the International Conference on Spoken Language Processing 96, Philadelphia, pp. 26-29.
5. Chelba, C. & Jelinek, F. (2000). Structured language modeling. Computer Speech and Language, 15, 283-332.
6. Clarkson, P. & Rosenfeld, R. (1997). Statistical language modeling using the CMU-Cambridge toolkit. Proceedings of the European Conference on Speech Communication and Technology 97, Rhodes, pp. 2707-2710.
7. Geutner, P. (1995). Using morphology towards better large-vocabulary speech recognition systems. Proceedings of the International Conference on Acoustics, Speech and Signal Processing 95, Detroit, pp. 445-448.
8. Hochberg, M., Renals, S. & Robinson, A. (1995). ABBOTT: the CUED hybrid connectionist-HMM large vocabulary recognition system. Proceedings of the Language Technology Workshop, Austin, TX, pp. 170-176.
9. Kwon, O., Hwang, K. & Park, J. (2000). Korean large vocabulary continuous speech recognition using pseudomorpheme units. Proceedings of the European Conference on Speech Communication and Technology 99, Budapest, pp. 483-486.
10. Johansson, S., Atwell, E., Garside, R. & Leech, G. (1986). The Tagged LOB Corpus Users' Manual. Norwegian Computing Centre for the Humanities, Bergen.
11. Lau, R., Rosenfeld, R. & Roukos, S. (1993). Trigger-based language models: a maximum entropy approach. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 93, Minneapolis, volume 2, pp. 45-48.
12. Lüngen, H., Pampel, M., Drexel, G., Gibbon, D., Althoff, F. & Schillo, C. (1996). Morphology and Speech Technology, Verbmobil Report 169, University of Bielefeld.
13. Martin, S., Liermann, J. & Ney, H. (1997). Adaptive topic-dependent language modelling using word-based variagrams. Proceedings of the European Conference of Speech Communication and Technology 97, Rhodes, pp. 1447-1450.
14. Pinker, S. (1995). The Language Instinct. Penguin Books, London.
15. Quirk, R., Greenbaum, S., Leech, G. & Svartvik, J. (1972). A Grammar of Contemporary English. Longman, London.
16. Ritchie, G., Russell, G., Black, A. & Pulman, S. (1992). Computational Morphology: Practical Mechanisms for the English Lexicon. MIT Press, Cambridge, MA.
17. Robinson, T. (1996). BEEP Pronunciation Dictionary. Retrieved from world wide web: ftp://svr-ftp.eng.cam.ac.uk/pub/comp.speech/dictionaries/beep.tar.gz.
18. Spies, M. (1995). A language model for compound words in speech recognition. Proceedings of the European Conference on Speech Communication and Technology 95, Madrid, pp. 1767-1770.