Paper Info
Title
A Finite-State Morphological Analyser for Sindhi.
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, which is a freely-available large corpus of Sindhi and achieved a reasonable coverage of about 81% and a precision of over 97%.
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Sindhi,Morphological Analysis,Finite-State Machines
Field
DocType
Citations 
Analyser,Computer science,Speech recognition,Finite state,Natural language processing,Sindhi,Artificial intelligence
Conference
1
PageRank 
References 
Authors
0.36
0
3
Name
Order
Citations
PageRank
Raveesh Motlani110.36
Francis M. Tyers212821.76
Dipti Misra Sharma326245.90