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1
Bidirectional Bengali Script and Meetei Mayek Transliteration of Web Based Manipuri News Corpus
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
In: http://arxiv.org/pdf/physics/0703198v1.pdf (2007)
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3
Unsupervised morphological parsing of Bengali. Language Resources and Evaluation
In: http://www.hlt.utdallas.edu/~sajib/LRE.fdf (2006)
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4
A Comprehensive Bangla Spelling Checker
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
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
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
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
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
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
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
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
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
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
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
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?
In: http://www.naushadzaman.com/iccit06_backwardn-gram.pdf
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17
GOBINDA KOLE
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)
In: http://research.ijcaonline.org/volume89/number17/pxc3894576.pdf
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19
Overview of Stemming Algorithms for Indian and Non-Indian Languages
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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