@inproceedings{de-chalendar-2014-lima,
title = "The {LIMA} Multilingual Analyzer Made Free: {FLOSS} Resources Adaptation and Correction",
author = {de Chalendar, Ga{\"e}l},
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/362_Paper.pdf",
pages = "2932--2937",
abstract = "At CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select and adapt free ones in order to attain results good enough and equivalent to those obtained with our previous ones. For English and French, we found and adapted a full-form dictionary and an annotated corpus for learning part-of-speech tagging models.",
}
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<abstract>At CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select and adapt free ones in order to attain results good enough and equivalent to those obtained with our previous ones. For English and French, we found and adapted a full-form dictionary and an annotated corpus for learning part-of-speech tagging models.</abstract>
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%0 Conference Proceedings
%T The LIMA Multilingual Analyzer Made Free: FLOSS Resources Adaptation and Correction
%A de Chalendar, Gaël
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F de-chalendar-2014-lima
%X At CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select and adapt free ones in order to attain results good enough and equivalent to those obtained with our previous ones. For English and French, we found and adapted a full-form dictionary and an annotated corpus for learning part-of-speech tagging models.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/362_Paper.pdf
%P 2932-2937
Markdown (Informal)
[The LIMA Multilingual Analyzer Made Free: FLOSS Resources Adaptation and Correction](http://www.lrec-conf.org/proceedings/lrec2014/pdf/362_Paper.pdf) (de Chalendar, LREC 2014)
ACL