@inproceedings{6ff6baeed6ad4f9c8c2dab84e0bf761d,
title = "Structured language model for class identification of out-of-vocabulary words arising from multiple word-classes",
abstract = "A structured language model (STLM) is proposed to cope with out-of-vocabulary (OOV) words coming from multiple wond-classes. tie STLM aims at independently modeling the classes without interference and identifying the class of words arising from multiple word-classes. The STLM consists of the conventional word-class N-gram and the sets of the independent-Trained class-specific sub-wond N-grams. We made an experimental language model by using STLM for the two similar proper-noun classes and performed the speech recognition experiments. The results show that any OOV word of the one class is never misrecognized as that of the other class. The results show that the STLM could integrate the multiple different statistical language models with no interference.",
author = "Shigehiko Onishi and Hirofumi Yamamoto and Yoshinori Sagisaka",
year = "2001",
month = jan,
day = "1",
language = "English",
series = "EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology",
publisher = "International Speech Communication Association",
pages = "693--696",
editor = "Borge Lindberg and Henrik Benner and Paul Dalsgaard and Zheng-Hua Tan",
booktitle = "EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology",
note = "7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 ; Conference date: 03-09-2001 Through 07-09-2001",
}