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N-gram Language Model/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

N-gram Statistical Language Model
Taxonomic method record · process-pipeline / text-mining
  • Jurafsky, D. & Martin, J.H. (2023). Speech and Language Processing, 3rd ed. · URL
  • 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
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Related methods

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Same method familyText Classificationmachine-suggested · Relational suggestion, not evidence.Same method familyText Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyTF-IDFmachine-suggested · Relational suggestion, not evidence.Same method familyWord Sense Disambiguationmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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