@inproceedings{motlani-etal-2016-finite,
title = "A Finite-State Morphological Analyser for {S}indhi",
author = "Motlani, Raveesh and
Tyers, Francis and
Sharma, Dipti",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1409",
pages = "2572--2577",
abstract = "Morphological analysis is a fundamental task in natural-language processing, which is used in other NLP applications such as part-of-speech tagging, syntactic parsing, information retrieval, machine translation, etc. In this paper, we present our work on the development of free/open-source finite-state morphological analyser for Sindhi. We have used Apertium{'}s lttoolbox as our finite-state toolkit to implement the transducer. The system is developed using a paradigm-based approach, wherein a paradigm defines all the word forms and their morphological features for a given stem (lemma). We have evaluated our system on the Sindhi Wikipedia corpus and achieved a reasonable coverage of 81{\%} and a precision of over 97{\%}.",
}
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<abstract>Morphological analysis is a fundamental task in natural-language processing, which is used in other NLP applications such as part-of-speech tagging, syntactic parsing, information retrieval, machine translation, etc. In this paper, we present our work on the development of free/open-source finite-state morphological analyser for Sindhi. We have used Apertium’s lttoolbox as our finite-state toolkit to implement the transducer. The system is developed using a paradigm-based approach, wherein a paradigm defines all the word forms and their morphological features for a given stem (lemma). We have evaluated our system on the Sindhi Wikipedia corpus and achieved a reasonable coverage of 81% and a precision of over 97%.</abstract>
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%0 Conference Proceedings
%T A Finite-State Morphological Analyser for Sindhi
%A Motlani, Raveesh
%A Tyers, Francis
%A Sharma, Dipti
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F motlani-etal-2016-finite
%X Morphological analysis is a fundamental task in natural-language processing, which is used in other NLP applications such as part-of-speech tagging, syntactic parsing, information retrieval, machine translation, etc. In this paper, we present our work on the development of free/open-source finite-state morphological analyser for Sindhi. We have used Apertium’s lttoolbox as our finite-state toolkit to implement the transducer. The system is developed using a paradigm-based approach, wherein a paradigm defines all the word forms and their morphological features for a given stem (lemma). We have evaluated our system on the Sindhi Wikipedia corpus and achieved a reasonable coverage of 81% and a precision of over 97%.
%U https://aclanthology.org/L16-1409
%P 2572-2577
Markdown (Informal)
[A Finite-State Morphological Analyser for Sindhi](https://aclanthology.org/L16-1409) (Motlani et al., LREC 2016)
ACL
- Raveesh Motlani, Francis Tyers, and Dipti Sharma. 2016. A Finite-State Morphological Analyser for Sindhi. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2572–2577, Portorož, Slovenia. European Language Resources Association (ELRA).