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nilc.org Research Center Computational Linguistics Natural Language Processing

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NILC (Interinstitutional Center for Computational Linguistics) is a research center dedicated to the development of natural language processing technologies and computational linguistics. It is associated with the University of São Paulo (USP) and the Federal University of São Carlos (UFSCar) in Brazil. NILC aims to advance the understanding and processing of human language by computers, contributing to various fields such as artificial intelligence, information retrieval, and machine translation.

Unique Visits

135K

4500 / day

Total Views

150K

5000 / day

Visit Duration, avg.

5.5 min

3.5 pages per visit

Bounce Rate

40%

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Founded in

1993

Supported Languages

English, etc

Website Key Features

Research Projects

NILC conducts a wide range of research projects in computational linguistics and natural language processing, aiming to solve complex problems in language understanding and generation.

Publications

The center publishes numerous papers and articles in prestigious journals and conferences, contributing valuable knowledge to the field of computational linguistics.

Software Development

NILC develops and maintains software tools and resources for natural language processing, which are freely available to the research community.

Collaborations

NILC collaborates with national and international research institutions and industry partners to advance the field of computational linguistics.

Educational Programs

The center offers educational programs and workshops to train the next generation of researchers in computational linguistics and natural language processing.

Additional information

Location

São Carlos, São Paulo, Brazil

Affiliation

University of São Paulo (USP) and Federal University of São Carlos (UFSCar)

Key Research Areas

Machine Translation, Information Retrieval, Text Mining, Sentiment Analysis, and Speech Processing

Community Engagement

NILC actively engages with the academic and research community through conferences, seminars, and open-source projects.

Funding

The center receives funding from various national and international funding agencies, including CNPq, CAPES, and FAPESP.

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