From Czech Morphology through Partial Parsing to Disambiguation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F03%3A00008612" target="_blank" >RIV/00216224:14330/03:00008612 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

From Czech Morphology through Partial Parsing to Disambiguation

Popis výsledku v původním jazyce

This paper deals with a complex system of processing raw Czech texts. Several modules were implemented which perform different levels of processing. These modules can easily be incorporated into many other linguistic applications and some of them are already exploited in this way. The first level of processing raw texts represents a reliable morphological analysis -- we give a survey of the effective implementation of the robust morphological analyser for Czech named ajka. Texts tagged by ajka can be further processed by the partial parser Dis and its extension VaDis which is based on verb valencies. The output of these systems serves for automatic partial disambiguation of input texts.The tools described in this paper are widely used for parsing largecorpora and can be employed in the initial phase of semantic analysis.

Název v anglickém jazyce

From Czech Morphology through Partial Parsing to Disambiguation

Popis výsledku anglicky

This paper deals with a complex system of processing raw Czech texts. Several modules were implemented which perform different levels of processing. These modules can easily be incorporated into many other linguistic applications and some of them are already exploited in this way. The first level of processing raw texts represents a reliable morphological analysis -- we give a survey of the effective implementation of the robust morphological analyser for Czech named ajka. Texts tagged by ajka can be further processed by the partial parser Dis and its extension VaDis which is based on verb valencies. The output of these systems serves for automatic partial disambiguation of input texts.The tools described in this paper are widely used for parsing largecorpora and can be employed in the initial phase of semantic analysis.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2003

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computational Linguistics and Intelligent Text Processing

ISBN

3-540-00532-3

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

126

Název nakladatele

Springer-Verlag

Místo vydání

Berlin

Místo konání akce

February 2003, Mexico City, Mexico

Datum konání akce

1. 1. 2003

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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