Speech and Language Processing¶
Jurafsky, D., & Martin, J. H. (2009). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Markov Process
- Continuous-time Markov processes also underlie radioactive decay, where the probability of decay in the next instant depends only on the present (undecayed) state and not on the atom's age. Linguistics / NLP (non-obvious): n-gram language models assume the next word depends only on the last few words — a finite-memory Markov approximation of text.
This sourceStandard NLP textbook: presents n-gram language models as a finite-memory Markov approximation in which the next word depends only on the preceding few words.
- Continuous-time Markov processes also underlie radioactive decay, where the probability of decay in the next instant depends only on the present (undecayed) state and not on the atom's age. Linguistics / NLP (non-obvious): n-gram language models assume the next word depends only on the last few words — a finite-memory Markov approximation of text.
- Parsing
- In natural language processing syntactic parsing recovers grammatical structure from sentences and semantic parsing maps utterances to logical forms, with attachment and scope ambiguities as the characteristic failure mode.
This sourceStandard NLP text covering syntactic and semantic parsing, parse trees, grammar ambiguity, and attachment/scope ambiguity as characteristic failure modes.
- In natural language processing syntactic parsing recovers grammatical structure from sentences and semantic parsing maps utterances to logical forms, with attachment and scope ambiguities as the characteristic failure mode.
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