D 2001

Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech

HORÁK, Aleš and Pavel SMRŽ

Basic information

Original name

Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech

Authors

HORÁK, Aleš (203 Czech Republic, guarantor) and Pavel SMRŽ (203 Czech Republic)

Edition

Beijing, Proceedings of the IWPT'2001 (the 7th International Workshop on Parsing Technologies), p. 221-224, 2001

Publisher

Peking University

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20206 Computer hardware and architecture

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/00216224:14330/01:00004535

Organization unit

Faculty of Informatics

Keywords in English

natural language; parsing

Tags

Změněno: 22/5/2009 12:47, doc. RNDr. Aleš Horák, Ph.D.

Abstract

V originále

The paper presents two optimalizations of standard parsing techniques applied to Czech as a representative of a free word order language with rich morphology. Our approach is based on features that take advantage of particular knowledge of language specific properties. The first method involves a special type of merging possible due to the agreement fulfillment. Another use of language specific features lies in the exploitation of verb valency frames for probabilistic ordering of parsing output.

Links

GA201/99/D028, research and development project
Name: Syntaktická analýza přirozeného jazyka
Investor: Czech Science Foundation, Syntactic analysis of natural language
MSM 143300003, plan (intention)
Name: Interakce člověka s počítačem, dialogové systémy a asistivní technologie
Investor: Ministry of Education, Youth and Sports of the CR, Human-computer interaction, dialog systems and assistive technologies