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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kozielski, M. Matysiak, M. Doetsch, P. Schloter, R. Ney, H. |
| Copyright Year | 2014 |
| Description | Author affiliation: Human Language Technol. & Pattern Recognition Group, RWTH Aachen Univ., Aachen, Germany (Kozielski, M.; Matysiak, M.; Doetsch, P.; Schloter, R.; Ney, H.) |
| Abstract | In this paper we investigate different n-gram language models that are defined over an open lexicon. We introduce a character-level language model and combine it with a standard word-level language model in a back off fashion. The character-level language model is redefined and renormalized to assign zero probability to words from a fixed vocabulary. Furthermore we present a way to interpolate language models created at the word and character levels. The computation of character-level probabilities incorporates the across-word context. We compare perplexities on all words from the test set and on in-lexicon and OOV words separately on corpora of English and Arabic text. |
| Starting Page | 343 |
| Ending Page | 348 |
| File Size | 166132 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479943357 |
| ISSN | 21676445 |
| e-ISBN | 9781479943340 |
| DOI | 10.1109/ICFHR.2014.64 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-01 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Vocabulary Computational modeling Training Interpolation Standards Speech recognition |
| Content Type | Text |
| Resource Type | Article |
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