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A Lexical-functional grammar for Turkish

Authors: Güngördü, Zelal;

A Lexical-functional grammar for Turkish

Abstract

Natural language processing is a research area which is becoming increasingly popular each day for both academic and commercial reasons. Syntactic parsing underlies most of the applications in natural language processing. Although there have been comprehensive studies of Turkish syntax from a linguistic perspective, this is one of the first attempts for investigating it extensively from a computational point of view. In this thesis, a lexical-functional grammar for Turkish syntax is presented. Our current work deals with regular Turkish sentences that are structurally simple or complex.

Cataloged from PDF version of article.

Includes bibliographical refences.

Güngördü, Zelal

Country
Turkey
Related Organizations
Keywords

Parsing, Linguistics--Data processing., Systemic grammar, Natural language processing, Systemic grammar., Turkish, Computational linguistics, Turkish syntax, Computer aided, Computer Engineering and Computer Science and Control, Linguistics--Data processing, 400, Lexical-functional grammar, Computational linguistics., Text processing (Computer science), P98 .G86 1993, Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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