BRAC University Institutional Repository

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

DSpace/Manakin Repository

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

Sort by: Order: Results:

  • Naushad UzZaman; Khan, Mumit (BRAC University, 2004)
    We present a phonetic encoding for Bangla that can be used by spelling checkers to provide better suggestions for misspelled words. The encoding is based on the Soundex algorithm, modified to match Bangla phonetics. We ...
  • 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,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 ...
  • 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 ...
  • 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 ...
  • Islam, Md Zahurul; Khan, Mumit (BRAC University, 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. ...
  • Naushad UzZaman, Khan Mumit (BRAC University, 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 ...
  • 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 ...
  • 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 ...
  • Naushad UzZaman; Khan, Mumit (BRAC University, 2006)
    We present a comprehensive Bangla spelling checker that improves the quality of suggestions for misspelled words. The complex rules for Bangla spelling presents a significant challenge in producing suggestions for a ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Habib, S. M. Murtoza; Noor, Nawsher Ahamed; Khan, Mumit (BRAC University, 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Naushad UzZaman,; Zaheen, Arnab; Khan, Mumit (BRAC University, 2006)
    A transliteration scheme from Roman (English) to Bangla can help increase the use of Bangla in essential and diverse computing areas such as word processing, Internet and mobile communication and information query and ...

Policy Guidelines

Search DSpace


Browse

My Account