Language model parameter estimation using user transcriptions
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyond the unlabeled test corpus. In this work, we explore the iterative use of the recognition hypothes...
Main Authors: | Hsu, Bo-June, Glass, James R. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/58944 https://orcid.org/0000-0002-3097-360X |
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