Language Model

Turkish equivalent: Dil modeliDomain: Speech Processing

A probabilistic or neural model that scores sequences of linguistic units and provides contextual preference over possible word or token continuations.

Speech Processing Context

A language model assigns probabilities or scores to token sequences and can help ASR decoding choose between acoustically similar hypotheses. End-to-end recognizers already contain implicit linguistic information, while external language-model fusion can still be useful under some domain and decoding conditions.

Modeling Boundary

A language model does not recognize speech by itself; it must be combined with evidence derived from the audio when used in ASR.

Related technical publications

Publications whose title or summary directly references this concept.

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A comprehensive course note on large language models from language modeling and Transformer architecture through pre-training, post-training, RAG, fine-tuning, reasoning, tool use, agents, security, evaluation, and production engineering, connected to other AI paradigms.