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About STIL
STIL, the Foundation for Inductive Learning Applications, was
founded in 1997 as a link to the outside world for language technology
software and expertise developed at Tilburg University's Induction of Linguistic Knowledge (ILK) research group and the
University of
Antwerp's Computational Linguistics and Psycholinguistics Research Center (CLiPS).
ILK and CLiPS are known
for their joint development of TiMBL, a generic machine
learning algorithm emulating memory-based learning. Based on TiMBL the
groups have developed
- MBT for sequence tagging;
- MBSP for shallow parsing of English text;
- Frog for integrated morpho-syntactic tagging and parsing of Dutch text.
The groups are also developing software for web mining, context-sensitive spelling correction for Dutch and English,
language modeling, machine translation, co-reference resolution, word sense disambiguation, author
verification and attribution, text analytics in various domains, sentence compression, and
paraphrasing.
STIL can offer solutions to businesses and non-profit
organizations exploring what language technology could
offer them, or with a need to
integrate language technology components in their information systems.
STIL offers consultancy and expertise on
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Language technology middleware: lemmatization, decompounding, part-of-speech tagging, constituent chunking, shallow parsing, full parsing.
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Text analytics middleware: named entity recognition, text classification, time and event detection, negation and modality detection.
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Text preprocessing: spelling correction (including OCR correction), spelling variation detection, tokenization
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Customization of shallow parsing to domain-specific text analytics
(bio-informatics, medicine, newswire, spontaneous speech).
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Customization of text analytics to domain-specific needs (intelligence, business document management, cultural heritage, humanities research).
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For further information on consultancy and software licenses, contact stil@uvt.nl.
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News
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STIL Scriptieprijs / Thesis prize
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In 2013, STIL will again sponsor a prize of 1000 Euros for a Master's thesis that describes high quality research
in computational linguistics or its applications: see the call. The prize is planned to be awarded at CLIN 24 in Leiden, the Netherlands.
The winner of the STIL Thesis Prize 2012 is Phong Le for his thesis Learning semantic parsing. The prize was awarded on January 18, 2012, at CLIN 23 in Enschede, the Netherlands.
STIL Thesis Award winners
MA theses submitted to and evaluated at a university or organisation
of higher education in The Netherlands or Flanders are eligible for
the prize. The thesis should address a topic in computational
linguistics or its applications, and may be written in Dutch or
English. > READ MORE
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STIL provides Dutch data for Ubisoft game My Word Coach
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Ubisoft releases the brain
training game My Word
Coach (Dutch), a vocabulary booster for Nintendo DS and
Wii. Background work on the Dutch localization was performed by Walter Daelemans
(University of Antwerp) and Antal van den Bosch (Tilburg University) for STIL. News
covered (in Dutch) by ComputerIdee
and De
Pers; an item at Radio 1 show Radio
Online; Tilburg
University press release; articles in Kennislink, Brabants
Dagblad, Volkskrant. Game review at Gamespot. April 8, 2008
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Demo of the day: MBSP, memory-based shallow parser for generic or bio-medical text. Enter an
English sentence, and press "parse".
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