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.
Patrick Littell, Kaitlyn Price, and Lori Levin. 2014. Morphological parsing of Swahili using crowdsourced lexical resources. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3333–3339, Reykjavik, Iceland. European Language Resources Association (ELRA).
@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 = "https://aclanthology.org/L14-1686/",
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."
}
%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 https://aclanthology.org/L14-1686/
%P 3333-3339
Patrick Littell, Kaitlyn Price, and Lori Levin. 2014. Morphological parsing of Swahili using crowdsourced lexical resources. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3333–3339, Reykjavik, Iceland. European Language Resources Association (ELRA).