@inproceedings{littell-etal-2014-morphological,
title = "Morphological parsing of {S}wahili using crowdsourced lexical resources",
author = "Littell, Patrick and
Price, Kaitlyn and
Levin, Lori",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
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/896_Paper.pdf",
pages = "3333--3339",
abstract = "We describe a morphological analyzer for the Swahili language, written in an extension of XFST/LEXC intended for the easy declaration of morphophonological patterns and importation of lexical resources. Our analyzer was supplemented extensively with data from the Kamusi Project (kamusi.org), a user-contributed multilingual dictionary. Making use of this resource allowed us to achieve wide lexical coverage quickly, but the heterogeneous nature of user-contributed content also poses some challenges when adapting it for use in an expert system.",
}
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%0 Conference Proceedings
%T Morphological parsing of Swahili using crowdsourced lexical resources
%A Littell, Patrick
%A Price, Kaitlyn
%A Levin, Lori
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%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 littell-etal-2014-morphological
%X We describe a morphological analyzer for the Swahili language, written in an extension of XFST/LEXC intended for the easy declaration of morphophonological patterns and importation of lexical resources. Our analyzer was supplemented extensively with data from the Kamusi Project (kamusi.org), a user-contributed multilingual dictionary. Making use of this resource allowed us to achieve wide lexical coverage quickly, but the heterogeneous nature of user-contributed content also poses some challenges when adapting it for use in an expert system.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/896_Paper.pdf
%P 3333-3339
Markdown (Informal)
[Morphological parsing of Swahili using crowdsourced lexical resources](http://www.lrec-conf.org/proceedings/lrec2014/pdf/896_Paper.pdf) (Littell et al., LREC 2014)
ACL