Incremental dependency parsing based on headed context-free grammar

This paper proposes the incremental dependency parsing method based on the context-free grammar with dependency information. In the proposed method, the reachability, which represents the relation between categories, is used. In parallel to the inputting of sentence, the dependency, which is the relation between the modifying word and the modified word, is computed. In the proposed method, the parse tree to cover the inputted fragment of the sentence is not needed. Consequently, the method can compute the dependency more efficiently than the method that computes the dependency from the parse tree. As a result of a parsing experiment using ATIS corpus, the proposed method utilizing the reachability is demonstrated to be effective in reducing the parsing time. © 2005 Wiley Periodicals, Inc. Syst Comp Jpn, 36(2): 63–77, 2005; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/scj.10524

[1]  James F. Allen,et al.  An architecture for more realistic conversational systems , 2001, IUI '01.

[2]  Srinivas Bangalore,et al.  Learning Dependency Translation Models as Collections of Finite-State Head Transducers , 2000, Computational Linguistics.

[3]  Jun Noguchi,et al.  Interactive speech dialogue system using simultaneous understanding , 1994, ICSLP.

[4]  Yasuyoshi Inagaki,et al.  Incremental CFG Parsing with Statistical Lexical Dependencies , 2001, NLPRS.

[5]  Martin Kay,et al.  Algorithm schemata and data structures in syntactic processing , 1986 .

[6]  Norbert Bröker,et al.  Separating Surface Order and Syntactic Relations in a Dependency Grammar , 1998, COLING-ACL.

[7]  Vincenzo Lombardo,et al.  An Earley-type recognizer for dependency grammar , 1996, COLING.

[8]  Yasuyoshi Inagaki,et al.  Sync/Trans: Simultaneous Machine Interpretation between English and Japanese , 1999, Australian Joint Conference on Artificial Intelligence.

[9]  Mikio Nakano,et al.  Understanding Unsegmented User Utterances in Real-Time Spoken Dialogue Systems , 1999, ACL.

[10]  Beatrice Santorini,et al.  Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.

[11]  Michael Collins,et al.  A New Statistical Parser Based on Bigram Lexical Dependencies , 1996, ACL.

[12]  Akira Takagi,et al.  Bilingual Spoken Monologue Corpus for Simultaneous Machine Interpretation Research , 2002, LREC.

[13]  Jason Eisner,et al.  Three New Probabilistic Models for Dependency Parsing: An Exploration , 1996, COLING.

[14]  Robin Cooper,et al.  Incremental Interpretation: Applications, Theory, And Relationship To Dynamic Semantics , 1994, COLING.

[15]  Hideki Mima,et al.  Simultaneous Interpretation Utilizing Example-based Incremental Transfer , 1998, COLING-ACL.

[16]  Michael Collins,et al.  Head-Driven Statistical Models for Natural Language Parsing , 2003, CL.

[17]  Mikio Nakano,et al.  Language and Dialogue Processing in Spoken Dialogue Systems( Recent Advancements of Spoken Language Interfaces and Dialogue Systems) , 2002 .

[18]  Jan W. Amtrup.  Incremental Speech Translation , 2000, Lecture Notes in Computer Science.