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The Pennsylvania State University CiteSeerX Archives (36)
Naushad Uzzaman (5)
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Hits 1 – 20 of 36
1
Bidirectional Bengali Script and Meetei Mayek Transliteration of Web Based Manipuri News Corpus
Thoudam Doren Singh
In: http://www.aclweb.org/anthology/W/W12/W12-5016.pdf (2012)
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2
How Difficult is it to Develop a Perfect Spell-checker? A Cross-linguistic Analysis through Complex Network Approach
Monojit Choudhury
;
Markose Thomas
;
Animesh Mukherjee
...
In: http://arxiv.org/pdf/physics/0703198v1.pdf (2007)
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3
Unsupervised morphological parsing of Bengali. Language Resources and Evaluation
Sajib Dasgupta
;
Vincent Ng
In: http://www.hlt.utdallas.edu/~sajib/LRE.fdf (2006)
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4
A Comprehensive Bangla Spelling Checker
Naushad Uzzaman
;
Mumit Khan
In: http://www.naushadzaman.com/ComprehensiveSpeller.pdf (2006)
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5
A Double Metaphone Encoding for Bangla and its Application in Spelling Checker
Naushad Uzzaman
In: http://www.bracu.ac.bd/research/crblp/papers/DoubleMetaphoneSpell.pdf (2005)
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6
An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition
Shamik Sural
;
P.K. Das
In: http://www.facweb.iitkgp.ernet.in/~shamik/papers/1999_PRL.pdf (1999)
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7
A global perspective on bilingualism and bilingual education. ERIC Digest. (ERIC Document Reproduction Service No. ED435168
G. Richard Tucker
;
Carnegie Mellon University
In: http://www.cal.org/resources/digest/digest_pdfs/9904-tucker-globalBE.pdf (1999)
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8
Bengali and Hindi to English Cross-language Text Retrieval under Limited Resources
Debasis M
;
Ipan D
;
Mayank Gupta
...
In: http://www.clef-campaign.org/2007/working_notes/mandalCLEF2007.pdf
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9
A Faster Approach to Sort Unicode Represented Bengali Words
Aamira Shabnam
;
Tapashee Tabassum
In: http://www.ijcaonline.org/research/volume126/number11/shabnam-2015-ijca-906224.pdf
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10
THE DISTRIBUTION AND REALIZATION OF H TONES IN BENGALI
Sameer Ud Dowla Khan
In: http://www.linguistics.ucla.edu/faciliti/workpapph/106/The distribution and realization of H tones in Bengali.pdf
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11
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation
Ann Irvine
;
Chris Callison-burch
In: http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2233.pdf
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12
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation
Ann Irvine
;
Chris Callison-burch
In: http://www.cs.jhu.edu/~ccb/publications/combining-bilingual-and-comparable-corpora.pdf
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13
Bengali Question Classification: Towards Developing QA System ABSTRACT
Somnath Banerjee
;
Sivaji Bandyopadhyay
In: http://www.aclweb.org/anthology/W/W12/W12-5003.pdf
Abstract:
This paper demonstrates the question classification step towards building a question answering system in Bengali. Bengali is an eastern Indo-Aryan language with about 230 million total speakers and one of the most spoken languages in the world. An important first step in developing a question answering system is to classify natural language question properly. In this work, we have studied suitable lexical, syntactic and semantic features to classify the Bengali question. As Bengali question classification is at early stage of development, so for simplicity we have proposed single-layer taxonomy which consists of only nine course-grained classes. We have also studied and categorized the interrogatives in Bengali language. The proposed automated classification work is based on various machine learning techniques. The baseline system based on Naïve Bayes classifier has achieved 80.65 % accuracy. We have achieved up to 87.63 % accuracy using decision tree classifier.
Keyword:
Bengali Question Classification
;
Machine Learning
;
Question Classification
URL:
http://www.aclweb.org/anthology/W/W12/W12-5003.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.361.9450
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14
SentiWordNet for Indian Languages
Amitava Das
;
Sivaji B
In: http://aclweb.org/anthology-new/W/W10/W10-3208.pdf
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15
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation
Ann Irvine
;
Chris Callison-burch
In: http://www.cs.jhu.edu/~anni/papers/irvineCCB_WMT13.pdf
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16
History (forward n-gram) or Future (backward n-gram)? Which model to consider for n-gram analysis in Bangla?
Naira Khan
;
Md. Tarek Habib
;
Md. Jahangir Alam
...
In: http://www.naushadzaman.com/iccit06_backwardn-gram.pdf
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17
GOBINDA KOLE
Pabitra Mitra
In: http://www.facweb.iitkgp.ernet.in/~pabitra/paper/stemmer.pdf
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18
Analysis of Bangla Root Word for Universal Networking Language (UNL)
Aloke Kumar Saha
;
M. F Mridha
;
Jugal Krishna Das
In: http://research.ijcaonline.org/volume89/number17/pxc3894576.pdf
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19
Overview of Stemming Algorithms for Indian and Non-Indian Languages
Dalwadi Bijal
;
Suthar Sanket
In: http://ijcsit.com/docs/Volume+5/vol5issue02/ijcsit2014050241.pdf
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20
The akshara languages:
In: http://www.york.ac.uk/media/psychology/crl/documents/sonalipapers/the akshara languages (Chapter 16 proofs).pdf
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