How to handle gender and number agreement in statistical language models?
Author(s) -
Caroline Lavecchia,
Kamel Smaı̈li,
Jean-Paul Haton
Publication year - 2006
Publication title -
interspeech 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2006-511
Subject(s) - perplexity , computer science , language model , word (group theory) , natural language processing , artificial intelligence , cache language model , cache , speech recognition , word error rate , parsing , statistical model , natural language , linguistics , universal networking language , philosophy , comprehension approach , operating system
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