Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals

Haidar, Md Akmal; O'Shaughnessy, Douglas

doi:10.1016/j.csl.2014.06.002

Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals

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Resource type

Journal Article

Authors/contributors

Haidar, Md Akmal (Author)
O'Shaughnessy, Douglas (Author)

Title

Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals

Publication

Computer Speech & Language

Volume

29

Issue

1

Pages

20–31

Date

2015

DOI

10.1016/j.csl.2014.06.002

URL

https://www.sciencedirect.com/science/article/pii/S0885230814000606?casa_token=f48AzfOSK3QAAAAA:OBUb7DqpL5yz36vrwW9GgrgISimeRQrBp53bg44B0bUPxl80f4kr3-tqZO-_Ryi-kuHHi-nzJZs

Accessed

23/02/2024, 17:09

Library Catalogue

Google Scholar

Extra

Publisher: Elsevier

Citation

Haidar, M. A., & O’Shaughnessy, D. (2015). Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals. Computer Speech & Language, 29(1), 20–31. https://doi.org/10.1016/j.csl.2014.06.002

Theme

Artificial Intelligence

Link to this record

https://docs.opendeved.net/lib/5DM7DWSY