to appear in Proc. 5th Intl. Workshop on Computational Semantics, Tilburg, 2003 Inducing criteria for mass noun lexical mappings using the Cyc KB, and its extension to WordNet Tom O’Hara‡ , Nancy Salay, Michael Witb

Source URL: www.cyc.com

• Linguistics
• Cognitive science
• Knowledge representation
• Open data
• Information science
• Computational linguistics
• Parts of speech
• Ontology
• Cyc
• WordNet
• Noun
• Michael Witbrock

Interplay between morphology and frequency in lexical access: The case of the base frequency effect

Source URL: www.bcs.rochester.edu

Brown, MeganDialect and Lexical Access: An Investigation into Dialect Density, Dialect Environment and Word Knowledge. Abstract Knowledge of non-mainstream dialects may complicate speech comprehension. An audit

Source URL: itp.wceruw.org

In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, ppA Multilingual Database of Idioms Aline Villavicencio∗ , Timothy Baldwin† , Benja

Source URL: lingo.stanford.edu

• Linguistics
• English grammar
• Idiom
• Multiword expression
• English-language idioms
• Lexical item
• Literal translation
• Lexicon
• Machine translation
• Language
• Comprehension of idioms
• Idioms in American Sign Language

THE SKETCH ENGINE AS A COMMON PLATFORM FOR SHOWCASING LANGUAGE RESOURCES Adam Kilgarriff Lexical Computing Ltd., Brighton, UK Abstract

Source URL: kilgarriff.co.uk

• Linguistics
• Applied linguistics
• Corpus linguistics
• Sketch Engine
• Adam Kilgarriff
• British National Corpus
• Word sketch
• International Corpus of English
• Concordance
• Text corpus
• American National Corpus

Finding the words which are most X Adam Kilgarriff† and Pavel Rychlý†‡ † Lexical Computing Ltd., Brighton, UK ‡ Masaryk University, Brno, Czech Republic

Source URL: kilgarriff.co.uk

• Linguistics
• Corpus linguistics
• Applied linguistics
• Sketch Engine
• Part-of-speech tagging
• Lemma
• Word sketch
• Adam Kilgarriff
• Collocation
• International Corpus of English
• Plural
• Gerund

GDEX: Automatically finding good dictionary examples in a corpus Adam Kilgarriff†±, Miloš Husák†‡, Katy McAdam٭, Michael Rundell±, Pavel Rychlý†‡ † Lexical Computing Ltd., Brighton, UK

Source URL: kilgarriff.co.uk

• Linguistics
• Corpus linguistics
• Applied linguistics
• Computational linguistics
• Word-sense disambiguation
• Collocation
• Language education
• Macmillan English Dictionary for Advanced Learners
• Lexicography
• Machine translation
• Concordance
• Adam Kilgarriff

Supporting rule-based representations with corpus-derived lexical information. Annie Zaenen Cleo Condoravdi Daniel G. Bobrow PARC

Source URL: raphaelhoffmann.com

A Lexical Normalisation for Social Media Text Bo Han,♠♥ Paul Cook,♥ and Timothy Baldwin♠♥ ♠ NICTA Victoria Research Laboratory ♥ Department of Computing and Information Systems, The University of Melbourne

Source URL: cs.unb.ca

Combining Lexical Resources: Mapping Between PropBank and VerbNet Edward Loper, Szu-ting Yi, and Martha Palmer Abstract A wide variety of lexical resources have been created to allow automatic semantic processing of nove

Source URL: ed.loper.org