Spoken language parsing using phrase-level grammars and trainable classifiers
Abstract:
In this paper, we describe a novel approach to spoken language analysis for translation, which uses a combination of grammar-based phrase-level parsing and automatic classification. The job of the analyzer is to produce a shallow semantic interlingua representation for spoken task-oriented utterances. The goal of our hybrid approach is to provide accurate real-time analyses while improving robustness and portability to new domains and languages.
| Zugehörige Institution(en) am KIT | Institut für Theoretische Informatik (ITI) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsdatum | 11.07.2002 |
| Sprache | Englisch |
| Identifikator | ISBN: 1-558-60882-6 KITopen-ID: 1000009739 |
| Erschienen in | S2S'02: Proceedings of the ACL-02 Workshop on Speech-to-Speech Translation: Algorithms and Systems - Volume 7: on the 40th Anniversary Meeting of the Association for Computational Linguistics , ACL 2002, Philadelphia, Philadelphia, 6th-12th July 2002 |
| Veranstaltung | Speech-to-Speech Translation Workshop on the 40th Anniversary Meeting of the Association for Computational Linguistics (S2S/ACL 2002), Philadelphia, PA, USA, 06.07.2002 – 12.07.2002 |
| Verlag | Morgan Kaufmann Publishers |
| Seiten | 15-22 |
| Serie | S2S ; 02 |
| Externe Relationen | Siehe auch ResearchGate |