The Lemur Toolkit for Language Modeling and Information Retrieval

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Title:

The Lemur Toolkit for Language Modeling and Information Retrieval

Url:

http://www.lemurproject.org/

Publisher:

Carnegie-Mellon University. School of Computer Science.
University of Massachusetts at Amherst. Dept. of Computer and Information Science.

Description: Sponsored by the Advanced Research and Development Activity in Information Technology (ARDA) under its Statistical Language Modeling for Information Retrieval Research Program, the Lemur Project has recently announced the availability of the Lemur Toolkit for Language Modeling and Information Retrieval, version 1.0. The Lemur Toolkit is designed to help carry out research in areas such as ad hoc and distributed retrieval, cross-language IR, summarization, filtering, and classification. The toolkit supports indexing of large-scale text databases, the construction of simple language models for documents, queries, and more. The system, which is written in C and C++ languages, is designed as a research system to run under Unix operating systems, although it can also run under Windows. As part of the Lemur Project, the Lemur Toolkit is a collaboration between the Computer Science Department at the University of Massachusetts and the School of Computer Science at Carnegie Mellon University.

LC Classification:

Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Digital computers -- Programming
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Digital computers -- Programming languages
Social sciences -- Commerce -- Business -- Data processing -- Computer program languages or markup languages, A-Z -- C++ (Computer program language)
Social sciences -- Commerce -- Business -- Data processing -- Special computers, systems, or programs -- UNIX
Social sciences -- Commerce -- Information services -- Electronic information resources -- Databases

GEM Subject:

Science
Science -- Technology
Science -- Instructional issues

Resource Type:

Tool -- Software
Instructional Material

Format:

Document -- HTML

Audience:

Educator
Learner

Education Level:

Higher Education -- Graduate/Professional
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education

Language:

English

Access Rights:

Free access

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