[Corpora-List] RE: [MT-List] term extraction info (3)

[KERREMANS, Koen]

Several people also recommended the Trados software programme ExtraTerm.
More info can be found at: http://www.trados.com

Regards,

Koen

-----Oorspronkelijk bericht-----
Van: mt-list-admin at eamt.org [mailto:mt-list-admin at eamt.org]Namens
KERREMANS, Koen
Verzonden: vrijdag 4 oktober 2002 9:45
Aan: mt-list at eamt.org; corpora at hd.uib.no
Onderwerp: [MT-List] term extraction info (2)


!!I forgot some references. This is the new (complete) version of
responses!!

Hello,

These are the references I got in answer to my question concerning "term
extraction" (cf. see below). Each reference is preceded by the name of the
person who gave me the information. Feel free to add more info to this list.

Regards,

Koen Kerremans

1. Books:

-Jerome Richalot: Pearson, J. (1998). Terms in context. Benjamins, John
Publishing Company.
-Jorge Vivaldi: Bourigault, D.; Jacquemin C. y M.-C. L'Homme (eds.) Recent
Advances in Computational Terminology. John Benjamins Publishing Company.
Amsterdam.

2. Articles:

-Piklu Gupta: Heid, U. (1999). "Extracting terminologically relevant
collocations from German technical texts". [search via Google]
-Klaus Fleischmann: L'homme, Benali, Bertrand, Laudique. (1996). "Definition
of an evaluation grid for term extraction software". In Terminology 3:2.
Benjamins Publishing Co.
-Chantal Enguehard: Enguehard, C., Pantéra, L., "Automatic Natural
Acquisition of a Terminology", Journal of quantitative linguistics, vol.2,
n°1, pp.27-32, 1995.
-Chantal Enguehard: C. Enguehard, B. Daille, E. Morin, “Tools for
Terminology Processing”, The Indo-European Conference on Multilingual
Communications Technologies (IEMCT), R. K. Arora, M. Kulkarni, H. Darbari
(editors), Tata McGraw-Hill, pp.218-229, Pune, India, June 2002.
-Jorge Vivaldi: Vivaldi, J. y H. Rodríguez (2000) "Improving term extraction
by combining different techniques". Ananiadou S. y D. Maynard (eds.) in the
proceedings of Workshop on Computational terminology for medical and
biological Applications (NLP2000). Patras, 4 de junio. Pags. 61-68.
-Jorge Vivaldi: Terminology, Vol. 7, num.1. John Benjamins. Pag. 31-47. John
Benjamins Publishing Company, Amsterdam.
-Vivaldi J. and H. Rodríguez (2002) Medical Term Extraction using EWN
ontology. Proceedings of "Terminology and Knowledge Engineering 2002"
(TKE'02). Nancy.

3. Websites:

-Johan Haller: http://www.iai.uni-sb.de/de/pub.html
-John Kohl: http://www.xplanation.com [xplanation has a term-extraction tool
that is part of the MT system that this company uses. It is pretty good at
identifying noun phrases. They are located in Leuven. They also have
controlled-English software]
-Ross Smith: http://www.mkms.xerox.com [XEROX have a terminology management
program called XTS which contains an extraction function]
-François Rousselot:
http://www-ensais.u-strasbg.fr/liia/LIIA_Products_Installers/install.htm
[this tool is based on repeated segments: there is a small english
documentation in the program]
-Scheiden: http://www.biomath.jussieu.fr/ATALA/outil/ [section "Extraction
de termes"]
-Nicholas Hernandez: http://www.limsi.fr/Individu/jacquemi/ [Fastr is a
parser for term and variant recognition. Fastr take as input a corpus and a
list of terms and ouputs the indexed corpus in which terms and variants are
recognized]

4. Notes:

-Sabine Kirchmeier-Andersen
(http://www.id.cbs.dk/medarbej/ska/sabine_da.shtml) recommends Word Smith
Tools and Quirk who both can use a LGP korpus in order to identify
automatically frequent LSP candidates.  She thinks the latest articles by
Beatrice Daille et al. about term extraction describe the most efficient
methodology.
-Antal van den Bosch (http://ilk.kub.nl/~antalb/) did some experimenting
with a memory-based shallow parser after which he extracted terms using the
tf*idf method in statistics

> -----Original Message-----
> Hello,
>
> Does anyone know of good term extraction tools/methods? My purpose is to
> compare some of the existing methodologies to one another and to evaluate
> their performances on domain-specific texts. Good references or surveys of
> term extraction tools/methods are welcome as well.
>
> Regards,
>
> Koen Kerremans
>

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