Welcome to CL Research

The primary mission of CL Research is to investigate the structure of dictionaries (computational lexicons) and their role in natural language processing applications, as well as enhancing existing dictionary databases with publicly available lexical resource data (see Dictionary Analysis Services).

The structure of computational lexicons is investigated using DIMAP (DIctionary MAintenance Program). This Windows program provides a generalized structure for creating entries with multiple senses. Unlike ordinary dictionaries, DIMAP provides specific capabilities for representing superordinate and instance links, feature attributes and values, and generalized semantic relations to other entries and their senses. DIMAP includes functionality which permits the following types of computations within the lexicon (along with a range of maintenance functions):

DIMAP dictionaries have been created for several publicly-available lexicons, as well as electronic versions of published dictionaries, including

The electronic versions of the Oxford and Macquarie lexical resources are not publicly available, but may be licensed through CL Research for research purposes.

An additional DIMAP dictionary has been created for use in CL Research's implementation of Minnesota Contextual Content Analysis (MCCA), a content analysis tool used for statistical characterization and analysis of texts, from tweets and Likert scales to newspaper articles and blogs, including multiple person texts such as transcripts of focus groups or plays such as Hamlet.

The results of our research in examining the role of computational lexicons are incorporated in the Knowledge Management System (KMS), which is a unified platform for

KMS is accompanied by several supporting programs, parts of which are incorporated directly, that feed into KMS or provide specialized analysis functions. These include:

Fully-functional demonstration versions of these supporting programs are available (see Demos).

CL Research has also developed a Windows-based utility, FrameNet Explorer (FNE), for examining the FrameNet database (see Demos). CL Research is using FNE in supporting an in-depth comprehensive, publicly-available characterization of the behavior of English prepositions (their semantic roles and the properties of the preposition complements and attachment points) in The Preposition Project.

Ken Litkowski of CL Research is also the webmaster for the Association for Computational Linguistics Special Interest Group on the Lexicon and a guest editor for a special issue of Computational Linguistics on semantic role labeling.

CL Research also provides consulting assistence on

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This document maintained by Ken Litkowski.
Copyright © 2012 CL Research