@inproceedings{nicolas-etal-2012-unsupervised,
title = "Unsupervised acquisition of concatenative morphology",
author = "Nicolas, Lionel and
Farr{\'e}, Jacques and
Darme, C{\'e}cile",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/450_Paper.pdf",
pages = "865--872",
abstract = "Among the linguistic resources formalizing a language, morphological rules are among those that can be achieved in a reasonable time. Nevertheless, since the construction of such resource can require linguistic expertise, morphological rules are still lacking for many languages. The automatized acquisition of morphology is thus an open topic of interest within the NLP field. We present an approach that allows to automatically compute, from raw corpora, a data-representative description of the concatenative mechanisms of a morphology. Our approach takes advantage of phenomena that are observable for all languages using morphological inflection and derivation but are more easy to exploit when dealing with concatenative mechanisms. Since it has been developed toward the objective of being used on as many languages as possible, applying this approach to a varied set of languages needs very few expert work. The results obtained for our first participation in the 2010 edition of MorphoChallenge have confirmed both the practical interest and the potential of the method.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="nicolas-etal-2012-unsupervised">
<titleInfo>
<title>Unsupervised acquisition of concatenative morphology</title>
</titleInfo>
<name type="personal">
<namePart type="given">Lionel</namePart>
<namePart type="family">Nicolas</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jacques</namePart>
<namePart type="family">Farré</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Cécile</namePart>
<namePart type="family">Darme</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2012-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nicoletta</namePart>
<namePart type="family">Calzolari</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Khalid</namePart>
<namePart type="family">Choukri</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Thierry</namePart>
<namePart type="family">Declerck</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mehmet</namePart>
<namePart type="given">Uğur</namePart>
<namePart type="family">Doğan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Bente</namePart>
<namePart type="family">Maegaard</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joseph</namePart>
<namePart type="family">Mariani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Asuncion</namePart>
<namePart type="family">Moreno</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jan</namePart>
<namePart type="family">Odijk</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Stelios</namePart>
<namePart type="family">Piperidis</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>European Language Resources Association (ELRA)</publisher>
<place>
<placeTerm type="text">Istanbul, Turkey</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Among the linguistic resources formalizing a language, morphological rules are among those that can be achieved in a reasonable time. Nevertheless, since the construction of such resource can require linguistic expertise, morphological rules are still lacking for many languages. The automatized acquisition of morphology is thus an open topic of interest within the NLP field. We present an approach that allows to automatically compute, from raw corpora, a data-representative description of the concatenative mechanisms of a morphology. Our approach takes advantage of phenomena that are observable for all languages using morphological inflection and derivation but are more easy to exploit when dealing with concatenative mechanisms. Since it has been developed toward the objective of being used on as many languages as possible, applying this approach to a varied set of languages needs very few expert work. The results obtained for our first participation in the 2010 edition of MorphoChallenge have confirmed both the practical interest and the potential of the method.</abstract>
<identifier type="citekey">nicolas-etal-2012-unsupervised</identifier>
<location>
<url>http://www.lrec-conf.org/proceedings/lrec2012/pdf/450_Paper.pdf</url>
</location>
<part>
<date>2012-05</date>
<extent unit="page">
<start>865</start>
<end>872</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Unsupervised acquisition of concatenative morphology
%A Nicolas, Lionel
%A Farré, Jacques
%A Darme, Cécile
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F nicolas-etal-2012-unsupervised
%X Among the linguistic resources formalizing a language, morphological rules are among those that can be achieved in a reasonable time. Nevertheless, since the construction of such resource can require linguistic expertise, morphological rules are still lacking for many languages. The automatized acquisition of morphology is thus an open topic of interest within the NLP field. We present an approach that allows to automatically compute, from raw corpora, a data-representative description of the concatenative mechanisms of a morphology. Our approach takes advantage of phenomena that are observable for all languages using morphological inflection and derivation but are more easy to exploit when dealing with concatenative mechanisms. Since it has been developed toward the objective of being used on as many languages as possible, applying this approach to a varied set of languages needs very few expert work. The results obtained for our first participation in the 2010 edition of MorphoChallenge have confirmed both the practical interest and the potential of the method.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/450_Paper.pdf
%P 865-872
Markdown (Informal)
[Unsupervised acquisition of concatenative morphology](http://www.lrec-conf.org/proceedings/lrec2012/pdf/450_Paper.pdf) (Nicolas et al., LREC 2012)
ACL
- Lionel Nicolas, Jacques Farré, and Cécile Darme. 2012. Unsupervised acquisition of concatenative morphology. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 865–872, Istanbul, Turkey. European Language Resources Association (ELRA).