Enhancing WordNets with Morphological Relations: A Case Study from Czech, English and Zulu

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F08%3A00040353" target="_blank" >RIV/00216224:14330/08:00040353 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Enhancing WordNets with Morphological Relations: A Case Study from Czech, English and Zulu

Popis výsledku v původním jazyce

WordNets are most useful when their network is dense, i.e., when a given word of synsets is connected to many other words and synsets with lexical and conceptual relations. More links mean more semantic information and thus better discrimination of individual word senses. In the paper we discuss one kind of cross-POS relation for English, Czech and Bantu WordNets. Many languages have rules whereby new words are derived regularly and productively from existing words via morphological processes. The morphologically unmarked base words and the derived words, which share a semantic core with the base words, can be interlinked and integrated into WordNets, where they typically form "derivational nests", or subnets. We describe efforts to capture the morphological and semantic regularities of derivational processes in English, Czech and Bantu to compare the linguistic mechanisms and to exploit them for suitable computational processing and WordNet construction.

Název v anglickém jazyce

Enhancing WordNets with Morphological Relations: A Case Study from Czech, English and Zulu

Popis výsledku anglicky

WordNets are most useful when their network is dense, i.e., when a given word of synsets is connected to many other words and synsets with lexical and conceptual relations. More links mean more semantic information and thus better discrimination of individual word senses. In the paper we discuss one kind of cross-POS relation for English, Czech and Bantu WordNets. Many languages have rules whereby new words are derived regularly and productively from existing words via morphological processes. The morphologically unmarked base words and the derived words, which share a semantic core with the base words, can be interlinked and integrated into WordNets, where they typically form "derivational nests", or subnets. We describe efforts to capture the morphological and semantic regularities of derivational processes in English, Czech and Bantu to compare the linguistic mechanisms and to exploit them for suitable computational processing and WordNet construction.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/1ET100300419" target="_blank" >1ET100300419: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Fourth Global WordNet Conference

ISBN

978-963-482-854-9

ISSN

—

e-ISSN

—

Počet stran výsledku

17

Strana od-do

—

Název nakladatele

University of Szeged

Místo vydání

Szeged

Místo konání akce

Szeged

Datum konání akce

22. 1. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000272081100006