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Morphological Richness Offsets Resource Demand – Experiences in Constructing a POS Tagger for Hindi
Smriti Singh
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Kuhoo Gupta
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Manish Shrivastava
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Pushpak Bhattacharyya
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Paper Details:
Month: July
Year: 2006
Location: Sydney, Australia
Venue:
ACL |
COLING |
Citations
URL
Verbs are where all the action lies: Experiences of Shallow Parsing of a Morphologically Rich Language
Harshada Gune
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Mugdha Bapat
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Mitesh M. Khapra
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Pushpak Bhattacharyya
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Learning-Based Named Entity Recognition for Morphologically-Rich, Resource-Scarce Languages
Kazi Saidul Hasan
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Md. Altaf ur Rahman
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Vincent Ng
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Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation
Ananthakrishnan Ramanathan
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Jayprasad Hegde
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Ritesh M. Shah
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Pushpak Bhattacharyya
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Sasikumar M.
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Morphology Driven Manipuri POS Tagger
Thoudam Doren Singh
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Sivaji Bandyopadhyay
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Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
Sandipan Dandapat
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Sudeshna Sarkar
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Anupam Basu
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Part of Speech Tagger for Assamese Text
Navanath Saharia
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Dhrubajyoti Das
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Utpal Sharma
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Jugal Kalita
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Cost-Effectiveness in Building a Low-Resource Morphological Analyzer for Learner Language
Scott Ledbetter
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Markus Dickinson
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http://ccat.sas.upenn.edu/plc/tamilweb/hindi.html
http://www.cfilt.iitb.ac.in/wordnet/webhwn/
http://www.bbc.co.uk/hindi/
Field Of Study
Linguistic Trends
Morphology
Task
Morphological Analysis
Tagging
Language
English
Hindi
Japanese
Arabic
Dataset
News
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