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» Improving NER in Arabic Using a Morphological Tagger
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ACL
2006
13 years 8 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
LREC
2010
211views Education» more  LREC 2010»
13 years 8 months ago
Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank
The Quranic Arabic Dependency Treebank (QADT) is part of the Quranic Arabic Corpus (http://corpus.quran.com), an online linguistic resource organized by the University of Leeds, a...
Kais Dukes, Eric Atwell, Abdul-Baquee M. Sharaf
SIGIR
2002
ACM
13 years 7 months ago
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
Leah S. Larkey, Lisa Ballesteros, Margaret E. Conn...
LREC
2008
128views Education» more  LREC 2008»
13 years 8 months ago
Unsupervised Lexical Acquisition for Part of Speech Tagging
It is known that POS tagging is not very accurate for unknown words (words which the POS tagger has not seen in the training corpora). Thus, a first step to improve the tagging ac...
Dan Tufis, Elena Irimia, Radu Ion, Alexandru Ceaus...
ACL
2009
13 years 5 months ago
A global model for joint lemmatization and part-of-speech prediction
We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speec...
Kristina Toutanova, Colin Cherry