This page is obsolete. The new page is here. You will be redirected presently.
WordNet for Hebrew
Computational Linguistics Group, Department of Computer Science, University of Haifa
Project description
- Objective
- To create a Hebrew WordNet, aligned with the Princeton English WordNet.
- Researchers
- In Haifa, Danny Shacham, Noam Ordan, Iris Eyal and Shuly Wintner (and, in the
past, Margalit Zabludowski). This project is joint with a team at the
TCC Division ITC-IRST, Trento, Italy.
- Status
- Ongoing
- Funding
- Israeli Ministry of Science and Technology, as part of the
Knowledge Center for Hebrew Language Telecommunication
Abstract
WordNet is an
online lexical reference system whose design is inspired by current
psycholinguistic theories of human lexical memory. English nouns,
verbs, adjectives and adverbs are organized into synonym sets, each
representing one underlying lexical concept. Different relations link
the synonym sets. For more information, consult
the web site or this
good
introductory paper.
Following the success of the English WordNet, similar networks have
been developed for a variety
of languages. In particular, researchers at
ITC-IRST
in Trento, Italy have developed a methodology for parallel development
of multilingual WordNets. The system, called
MultiWordNet,
contains information on several aspects of multilingual dictionaries,
including lexical relationships between words, semantic relations over
lexical concepts, several mappings of lexical concepts in different
languages etc. See this paper
for more information on the methodology.
MultiWordNet has a variety of applications, including:
- Information retrieval: lexical relations can significantly improve
the performance of query answering systems, for example;
multilingual relationships facilitate multilingual information
extraction and retrieval.
- Semantic annotation: since words in the network are tagged by the
semantic concepts to which to relate, a multilingual WordNet
can be used for semantic annotation and classification of
texts.
- Disambiguation: semantic relationships can assist in determining
the semantic distance between words and concepts, thereby
assisting in lexical disambiguation.
- Terminology: the system can be used for developing structured
terminologies for specific applications.
Our goal in this project is to use the MultiWordNet methodology in
order to construct a Hebrew WordNet, aligned with the one developed at
IRST (and, therefore, aligned with English, Italian and Spanish).
Resources
The Hebrew network is available under MultiWordNet
on-line. More words are added incrementally.
Publications
- Noam Ordan and Shuly Wintner.
Representing natural gender in multilingual lexical databases.
International Journal of Lexicography 18(3), September 2005.
Accepted for publication.
PDF.
Contact
Computational Linguistics Group, Department of Computer Science,
University of Haifa,
http://cl.haifa.ac.il/
Maintained by
shuly@cs.haifa.ac.il
.
Last modified: Sun Dec 5 12:26:36 IST 2004