Weighted parsing for grammar-based language models

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Beitragende

Abstract

We develop a general framework for weighted parsing which is built on top of grammar-based language models and employs flexible weight algebras. It generalizes previous work in that area (semiring parsing, weighted deductive parsing) and also covers applications outside the classical scope of parsing, e.g., algebraic dynamic programming. We show an algorithm which terminates and is correct for a large class of weighted grammar-based language models.

Details

OriginalspracheEnglisch
TitelProceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing (FSMNLP 2019)
Herausgeber (Verlag)The Association for Computational Linguistics
Seiten46–55
PublikationsstatusVeröffentlicht - 2019
Peer-Review-StatusJa

Schlagworte

Schlagwörter

  • weighted parsing, language model, grammar, language model, grammar