Tamil dependency parsing: results using rule based and corpus based approaches

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10107821" target="_blank" >RIV/00216208:11320/11:10107821 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-642-19400-9_7" target="_blank" >http://dx.doi.org/10.1007/978-3-642-19400-9_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-19400-9_7" target="_blank" >10.1007/978-3-642-19400-9_7</a>

Result language

angličtina

Original language name

Tamil dependency parsing: results using rule based and corpus based approaches

Original language description

Very few attempts have been reported in the literature on dependency parsing for Tamil. In this paper, we report results obtained for Tamil dependency parsing with rule-based and corpus-based approaches. We designed annotation scheme partially based on Prague Dependency Treebank (PDT) and manually annotated Tamil data (about 3000 words) with dependency relations. For corpus-based approach, we used two well known parsers MaltParser and MSTParser, and for the rule-based approach, we implemented series oflinguistic rules (for resolving coordination, complementation, predicate identification and so on) to build dependency structure for Tamil sentences. Our initial results show that, both rule-based and corpus-based approaches achieved the accuracy of morethan 74% for the unlabeled task and more than 65% for the labeled tasks. Rule-based parsing accuracy dropped considerably when the input was tagged automatically.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AI - Linguistics

OECD FORD branch

—

Project

<a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

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

Name of the periodical

Lecture Notes in Computer Science

ISSN

0302-9743

e-ISSN

—

Volume of the periodical

6608

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

14

Pages from-to

82-95

UT code for WoS article

—

EID of the result in the Scopus database

—