Abstract
The aim of our paper is to study the interest of part of speech (POS) tagging to improve speech recognition. We first evaluate the part of misrecognized words that can be corrected using POS information; the analysis of a short extract of French radio broadcast news shows that an absolute decrease of the word error rate by 1.1% can be expected. We also demonstrate quantitatively that traditional POS taggers are reliable when applied to spoken corpus, including automatic transcriptions. This new result enables us to effectively use POS tag knowledge to improve, in a postprocessing stage, the quality of transcriptions, especially correcting agreement errors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chelba, C., Jelinek, F.: Structured language modeling. Computer Speech and Language 14, 283–332 (2000)
Khudanpur, S., Wu, J.: A maximum entropy language model to integrate n-grams and topic dependencies for conversational speech recognition. In: Proc. of ICASSP (1999)
Iyer, R., Ostendorf, M.: Modeling long distance dependence in language: Topic mixtures versus dynamic cache models. IEEE Transactions on Speech and Audio Processing 7, 30–39 (1999)
Maltese, G., Mancini, F.: An automatic technique to include grammatical and morphological information in a trigram-based statistical language model. In: Proc. of ICASSP (1992)
Brown, P., Della Pietra, V., de Souza, P., Lai, J., Mercer, R.: Class-based n-gram models of natural language. Computational Linguistics 18, 467–480 (1992)
Heeman, P.: POS tags and decision trees for language modeling. In: Proc. of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora. (1999)
Galliano, S., Geoffrois, E., Mostefa, D., Choukri, K., Bonastre, J.F., Gravier, G.: The ESTER phase II evaluation campaign for the rich transcription of French broadcast news. In: Proc. of Eurospeech (2005)
Valli, A., Véronis, J.: Étiquetage grammatical de corpus oraux: problèmes et perspectives. Revue française de linguistique appliquée 4, 113–133 (1999)
Gauvain, J.L., Adda, G., Adda-Decker, M., Allauzen, A., Gendner, V., Lamel, L., Schwenk, H.: Where are we in transcribing French broadcast news? In: Proc. of Eurospeech (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huet, S., Gravier, G., Sébillot, P. (2006). Are Morphosyntactic Taggers Suitable to Improve Automatic Transcription?. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_49
Download citation
DOI: https://doi.org/10.1007/11846406_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39090-9
Online ISBN: 978-3-540-39091-6
eBook Packages: Computer ScienceComputer Science (R0)