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@inproceedings{372075,
author = {Horák, Aleš and Smrž, Pavel},
address = {Beijing},
booktitle = {Proceedings of the IWPT'2001 (the 7th International Workshop on Parsing Technologies)},
keywords = {natural language; parsing},
language = {eng},
location = {Beijing},
pages = {221-224},
publisher = {Peking University},
title = {Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech},
url = {http://nlp.fi.muni.cz/publications/iwpt2001_hales_smrz/},
year = {2001}
}
TY - JOUR
ID - 372075
AU - Horák, Aleš - Smrž, Pavel
PY - 2001
TI - Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech
PB - Peking University
CY - Beijing
KW - natural language
KW - parsing
UR - http://nlp.fi.muni.cz/publications/iwpt2001_hales_smrz/
N2 - 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.
ER -
HORÁK, Aleš and Pavel SMRŽ. Efficient Sentence Parsing with Language Specific Features:A Case Study of Czech. In \textit{Proceedings of the IWPT'2001 (the 7th International Workshop on Parsing Technologies)}. Beijing: Peking University, 2001, p.~221-224.
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