The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An empirical study of smoothing techniques for language modeling
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Citations
Cites
(1992) · doi:10.5555/176313.176316 · Cited by 2,892
SWITCHBOARD: telephone speech corpus for research and development
Godfrey, J. J., Holliman, E. C., & McDaniel, J. (1992) · [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1992.225858 · Cited by 2,134
Cited by
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval
Zhai, C., & Lafferty, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130377 · Cited by 1,537
Character-Aware Neural Language Models
Kim, Y., Jernite, Y., Sontag, D., & Rush, A. M. (2015) · arXiv · doi:10.48550/arxiv.1508.06615 · Cited by 1,530
Visualizing and Understanding Recurrent Networks
Karpathy, A., Johnson, J., & Fei-Fei, L. (2015) · arXiv · doi:10.48550/arxiv.1506.02078 · Cited by 845
Neural Network Methods for Natural Language Processing
Goldberg, Y. (2017) · Synthesis Lectures on Human Language Technologies · doi:10.1007/978-3-031-02165-7 · Cited by 821
The effect of word predictability on reading time is logarithmic
Smith, N. J., & Levy, R. (2013) · Cognition · doi:10.1016/j.cognition.2013.02.013 · Cited by 725
Metadata
- Authors
- Chen, S. F., & Goodman, J.
- Venue
- Computer Speech & Language
- Publisher
- Elsevier BV
- Published
- 1999-10
- Volume
- 13
- Issue
- 4
- Pages
- 359-393
- ISSN
- 0885-2308 (ISSN-L)
- OpenAlex
- W2158195707
- Cited by
- 2,066
- References
- 2
- FWCI
- 23.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, S. F., & Goodman, J. (1999). An empirical study of smoothing techniques for language modeling. Computer Speech & Language. https://doi.org/10.1006/csla.1999.0128
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.