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Browsing Conference Papers (Centre for Research on Bangla Language Processing) by Issue Date

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Browsing Conference Papers (Centre for Research on Bangla Language Processing) by Issue Date

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  • Dasgupta, Sajib; Khan,Mumit (BRAC University, 2004)
    This paper describes Morphological parsing of Bangla words using PC-KIMMO, based on Kimmo Koskeniemil's model of two-level Morphology. There are three sections in the PC-KIMMO: rules section lexicon section and grammar ...
  • Dasgupta, Sajib; Khan, Dr. Mumit (BRAC University, 2004)
    This paper describes a Feature Unification Based Word Grammar model for the morphological parsing of Bangla words. While normal morphological parsing strategy is adequate to decompose a word into morphemes, it is not able ...
  • Dasgupta, Sajib; Khan, Naira; Sarkar, Asif Iqbal; Pavel, Dewan Shahriar Hossain; Khan, Mumit (BRAC University, 2005)
    The addition of inflectional suffixes in Bangla com-pound words is fairly complex. A compound is a word that is formed by two or more different words acting as a single entity. One of the key distinguishing features of ...
  • Naushad UzZaman, Khan Mumit (Center for research on Bangla language processing (CRBLP), 2005)
    The popular T9 text input system for mobile devices uses a predictive dictionary-based disambiguation scheme, enabling a user to type in commonly-used words with low overhead. We present a new text input system called ...
  • Naushad UzZaman; Khan, Mumit (BRAC University, 2005)
    We present a Double Metaphone encoding for Bangla that can be used by spelling checkers to improve the quality of suggestions for misspelled words. The complex rules of Bangla spelling present a significant challenge in ...
  • Naushad UzZaman,; Khan, Mumit (BRAC University, 2005)
    Almost any word can be a Bangali name, and the name in turn is often spelled in many different ways, all of which are considered correct and interchangeable. The reason for the spelling complication is two-fold: (1) there ...
  • Islam, Md Zahurul; Khan, Mumit (Center for research on Bangla language processing (CRBLP), 2005)
    Compiler Design remains one of the most dreaded courses in any undergraduate Computer Science curriculum, due in part to the complexity and the breadth of the material covered in a typical 14-15 week semester time frame. ...
  • Rownok, Tofazzal; Islam, Md. Zahurul; Khan, Mumit (BRAC University, 2006)
    Technology is the most important thing that involve in our everyday life. It is involving in almost every aspect of life like communication, work, shopping, recreation etc. Communication through mobile devices is the most ...
  • Majumder, Khair Md. Yasir Arafat (BRAC University, 2006)
    In this paper we present the compilation methodology and some statistical analysis on a Bangla news corpus-“Prothom-Alo”, which is the first of its kind for Bangla. We compare some of the statistics with the CIIL Bangla ...
  • Hasnat, Md. Abul; Haque, Mohammad Mahmudul; Khan, Mumit (BRAC University, 2006)
    This paper addresses the issue of building a Bangla lexicon with a collaborative effort through stand alone application and web based interface. The words in the lexicon will be annotated with a combination of tags addressing ...
  • Habib, S. M. Murtoza; Noor, Nawsher Ahamed; Khan, Mumit (Center for research on Bangla language processing (CRBLP), 2006)
    Skew angle detection and correction an integral part of any OCR system. Without proper skew correction, the performance of an OCR will simply not be acceptable for most scanned images. We propose an innovative method for ...
  • Alam, Md. Jahangir; UzZaman, Naushad; Khan, Mumit (Center for research on Bangla language processing (CRBLP), BRAC University, 2006)
    This paper describes a statistical grammar checker, which considers the n-gram based analysis of words and POS tags to decide whether the sentence is grammatically correct or not. We employed this technique for both Bangla ...
  • Mosaddeque, Ayesha Binte; UzZaman, Naushad; Khan, Mumit (BRAC University, 2006)
    This paper presents a rule based ronunciation generator for Bangla words. It takes a word and finds the pronunciations for the graphemes of the word. A grapheme is a unit in writing that cannot be analyzed into smaller ...
  • Mansur, Munirul; UzZaman, Naushad; Khan, Mumit (BRAC University, 2006)
    In this paper, we study the outcome of using ngram based algorithm for Bangla text categorization. To analyze the efficiency of this methodology we used one year Prothom-Alo news corpus. Our results show that n-grams of ...
  • Hasan, Fahim Muhammad; Naushad UzZaman; Khan, Mumit (BRAC University, 2006)
    There are different approaches to the problem of assigning each word of a text with a parts-of-speech tag, which is known as Part-Of-Speech (POS) tagging. In this paper we compare the performance of a few POS tagging ...
  • Khan, Naira; Khan, Mumit (BRAC University, 2006)
    This paper describes the first phase of developing a computational grammar for Bengali using the Head- Driven Phrase Structure Grammar (HPSG) formalism. The HPSG formalism is a highly developed framework that combines ...
  • Khan, Naira; Habib, Md. Tarek; Alam, Md. Jahangir; Rahman, Rajib; UzZaman, Naushad; Khan, Mumit (BRAC University, 2006)
    This paper presents a directional advantage of n-gram modeling in terms of backward or forward n-gram modeling in Bangla. The most commonly used n-gram analysis is predominantly a forward n-gram. However in Bangla it appears ...
  • Haque, Nafid; Ali, M Hammad; Abduallah, Matin Saad (BRAC University, 2006)
    In this paper, we talk about developing a search engine and information retrieval system for Bangla. Current work done in this area assumes the use of a particular type of encoding or the availability of particular facilities ...
  • Islam, Md. Zahurul; Khan, Mumit (BRAC University, 2006)
    Morphological analysis is of fundamental interest in computational linguistics and language processing. While there are established morphological analyzers for mostly Western and a few other languages using localized ...
  • Shatil, Adnan Mohammad Shoeb; Khan, Mumit (BRAC University, 2006)
    This paper presents a method to use Kohonen neural network based classifier in Bangla Optical Character Recognition (OCR) system, providing much higher performance than the traditional neural network based ones. It describes ...

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