Compiling Language Models from a Linguistically Motivated Unification Grammar

Systems now exist which are able to con:pile unification gralmnars into language models that can be included in a speech recognizer, but it is so far unclear whether non-trivial linguistically principled gralnlnars can be used for this purpose. We describe a series of experiments which investigate the question empirica.lly, by incrementally constructing a grammar and discovering what prot)lems emerge when successively larger versions are compiled into finite state graph representations and used as language models for a medium-vocabulary recognition task.

• Type: Conference
• Year: 2000
• Where: COLING
• Authors: Manny Rayner, Beth Ann Hockey, Frankie James, Elizabeth Owen Bratt, Sharon Goldwater, Jean Mark Gawron
• Keywords: COLING 2000, COLING 2008, Language Models, Speech Recognizer, State Graph Representations