Building a lexical database for an interactive joke-generator

Ruli Manurung; Dave O'Mara; Helen Pain; Graeme D Ritchie; Annalu Waller

Building a lexical database for an interactive joke-generator

Ruli Manurung, Dave O'Mara, Helen Pain, Graeme D Ritchie, Annalu Waller

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

3 Citations (Scopus)

Abstract

As part of a project to construct an interactive program which will encourage children to play with language by building jokes, we have developed a large lexical database, closely based on WordNet. As well as the standard WordNet information about part of speech, synonymy, hyponymy, etc, we have added phonetic representations and symbolic links allowing attachment of pictures. All information is represented in a relational database, allowing powerful searches using SQL via a Java API. The lexicon has a facility to label subsets of the lexicon with symbolic names, and we are working to incorporate some educationally relevant word lists as sublexicons. This should also allow us to improve the familiarity ratings which the lexicon assigns to words.

Original language	English
Title of host publication	Proceedings of International Conference on Language Resources and Evaluation
Subtitle of host publication	LREC 2006, Genoa, May 2006.
Publication status	Published - 2006

Bibliographical note

The fifth international conference on Language Resources and Evaluation, LREC 2006, organised by ELRA, was held at Magazzini del Cotone Conference Center, Genoa, Italy, on 24-26 May 2006

Keywords

computational lexicon, lexical database, phonetic data, pictorial dictionary

Access to Document

http://www.csd.abdn.ac.uk/~gritchie/papers/lrec06.pdf

Cite this

@inproceedings{04a0b3da23bc404bacb7d75e807688d6,

title = "Building a lexical database for an interactive joke-generator",

abstract = "As part of a project to construct an interactive program which will encourage children to play with language by building jokes, we have developed a large lexical database, closely based on WordNet. As well as the standard WordNet information about part of speech, synonymy, hyponymy, etc, we have added phonetic representations and symbolic links allowing attachment of pictures. All information is represented in a relational database, allowing powerful searches using SQL via a Java API. The lexicon has a facility to label subsets of the lexicon with symbolic names, and we are working to incorporate some educationally relevant word lists as sublexicons. This should also allow us to improve the familiarity ratings which the lexicon assigns to words.",

keywords = "computational lexicon, lexical database, phonetic data, pictorial dictionary",

author = "Ruli Manurung and Dave O'Mara and Helen Pain and Ritchie, {Graeme D} and Annalu Waller",

note = "The fifth international conference on Language Resources and Evaluation, LREC 2006, organised by ELRA, was held at Magazzini del Cotone Conference Center, Genoa, Italy, on 24-26 May 2006",

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AU - Manurung, Ruli

AU - O'Mara, Dave

AU - Pain, Helen

AU - Ritchie, Graeme D

AU - Waller, Annalu

N1 - The fifth international conference on Language Resources and Evaluation, LREC 2006, organised by ELRA, was held at Magazzini del Cotone Conference Center, Genoa, Italy, on 24-26 May 2006

PY - 2006

Y1 - 2006

N2 - As part of a project to construct an interactive program which will encourage children to play with language by building jokes, we have developed a large lexical database, closely based on WordNet. As well as the standard WordNet information about part of speech, synonymy, hyponymy, etc, we have added phonetic representations and symbolic links allowing attachment of pictures. All information is represented in a relational database, allowing powerful searches using SQL via a Java API. The lexicon has a facility to label subsets of the lexicon with symbolic names, and we are working to incorporate some educationally relevant word lists as sublexicons. This should also allow us to improve the familiarity ratings which the lexicon assigns to words.

AB - As part of a project to construct an interactive program which will encourage children to play with language by building jokes, we have developed a large lexical database, closely based on WordNet. As well as the standard WordNet information about part of speech, synonymy, hyponymy, etc, we have added phonetic representations and symbolic links allowing attachment of pictures. All information is represented in a relational database, allowing powerful searches using SQL via a Java API. The lexicon has a facility to label subsets of the lexicon with symbolic names, and we are working to incorporate some educationally relevant word lists as sublexicons. This should also allow us to improve the familiarity ratings which the lexicon assigns to words.

KW - computational lexicon, lexical database, phonetic data, pictorial dictionary

M3 - Published conference contribution

BT - Proceedings of International Conference on Language Resources and Evaluation

ER -

Building a lexical database for an interactive joke-generator

Abstract

Bibliographical note

Keywords

Access to Document

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Cite this