https://scholars.lib.ntu.edu.tw/handle/123456789/632412
標題: | HIERARCHICAL TAG-GRAPH SEARCH FOR SPONTANEOUS SPEECH UNDERSTANDING IN SPOKEN DIALOG SYSTEMS | 作者: | Lin B.-S Chen B Wang H.-M LIN-SHAN LEE |
公開日期: | 1998 | 來源出版物: | 5th International Conference on Spoken Language Processing, ICSLP 1998 | 摘要: | It has been relatively difficult to develop natural language parsers for spoken dialog systems, not only because of the possible recognition errors, pauses, hesitations, out-of-vocabulary words, and the grammatically incorrect sentence structures, but because of the great efforts required to develop a general enough grammar with satisfactory coverage and flexibility to handle different applications. In this paper, a new hierarchical graph-based search scheme with layered structure is presented, which is shown to provide more robust and flexible spontaneous speech understanding for spoken dialog systems. © 1998. 5th International Conference on Spoken Language Processing, ICSLP 1998. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0003210365&partnerID=40&md5=d05b283240797bd906b7e6402bd4b246 https://scholars.lib.ntu.edu.tw/handle/123456789/632412 |
SDG/關鍵字: | Computational linguistics; Hierarchical systems; Natural language processing systems; Speech recognition; Syntactics; Graph search; Graph-based; Hierarchical graphs; Natural languages; Outof-vocabulary words (OOV); Recognition error; Sentence structures; Speech understanding; Spoken dialogue system; Spontaneous speech; Graphic methods |
顯示於: | 電機工程學系 |
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