Process / pipeline
N-gram Language Model
An n-gram language model is a statistical model that predicts the probability of the next word by looking only at the previous n−1 words. Described in detail by Jurafsky and Martin (Speech and Language Processing), it provides foundational infrastructure for text generation, spelling correction, and speech recognition.
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Sources
- Jurafsky, D. & Martin, J.H. (2023). Speech and Language Processing, 3rd ed. link ↗
- Chen, S.F. & Goodman, J. (1999). An Empirical Study of Smoothing Techniques for Language Modeling. Computer Speech & Language, 13(4), 359-394. DOI: 10.1006/csla.1999.0128 ↗