作者: Steve Renals , Yoshihiko Gotoh
DOI:
关键词: Vocabulary 、 Proper noun 、 Named entity 、 Artificial intelligence 、 Computer science 、 Entity linking 、 Annotation 、 Natural language processing 、 Speech recognition 、 Transcription (software)
摘要: This paper presents an approach to integrating functions for both transcription and named entity (NE) identification into a large vocabulary continuous speech recognition system. It builds on NE tagged language modelling approach, which was recently applied development of the statistical annotation We also present results proper name experiment using Hub-4 evaluation data.