Automatically enriching spoken corpora with syntactic information for linguistic studies

被引：0

作者：

Nasr, Alexis ^{[1
]}

Bechet, Frederic ^{[1
]}

Favre, Benoit ^{[1
]}

Bazillon, Thierry ^{[1
]}

Deulofeu, Jose ^{[1
]}

Valli, Andre ^{[1
]}

机构：

[1] Aix Marseille Univ, CNRS, LIF UMR 7279, Marseille, France

来源：

LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2014年

关键词：

speech processing; parsing; syntactic annotation;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

Syntactic parsing of speech transcriptions faces the problem of the presence of disfluencies that break the syntactic structure of the utterances. We propose in this paper two solutions to this problem. The first one relies on a disfluencies predictor that detects disfluencies and removes them prior to parsing. The second one integrates the disfluencies in the syntactic structure of the utterances and train a disfluencies aware parser.

引用

页码：854 / 858

页数：5