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DCU@FIRE-2012: rule-based stemmers for Bengali and Hindi

Ganguly, Debasis ORCID: 0000-0003-0050-7138, Leveling, Johannes ORCID: 0000-0003-0603-4191 and Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 (2012) DCU@FIRE-2012: rule-based stemmers for Bengali and Hindi. In: FIRE 2012 Workshop, 17-19 Dec 2012, Kolkata, India.

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Abstract

For the participation of Dublin City University (DCU) in the FIRE-2012 Morpheme Extraction Task (MET), we investigated a rule based stemming approaches for Bengali and Hindi IR. The MET task itself is an attempt to obtain a fair and direct comparison between various stemming approaches measured by comparing the retrieval effectiveness obtained by each on the same dataset. Linguistic knowledge was used to manually craft the rules for removing the commonly occurring plural suffixes for Hindi and Bengali. Additionally, rules for removing classifiers and case markers in Bengali were also formulated. Our rule-based stemming approaches produced the best and the second-best retrieval effectiveness for Hindi and Bengali datasets respectively.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Stemming approaches
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of FIRE 2012. .
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:20363
Deposited On:13 Jan 2015 14:18 by Gareth Jones . Last Modified 25 Oct 2018 09:57

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