Conference Papers (Centre for Research on Bangla Language Processing)

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A light weight stemmer for Bengali and its use in spelling checker
(BRAC University, 2007) Islam, Md. Zahurul; Uddin, Md. Nizam; Khan, Mumit
Stemming is an operation that splits a word into the constituent root part and affix without doing complete morphological analysis. It is used to improve the performance of spelling checkers and information retrieval applications, where morphological analysis would be too computationally expensive. For spelling checkers specifically, using stemming may drastically reduce the dictionary size, often a bottleneck for mobile and embedded devices. This paper presents a computationally inexpensive stemming algorithm for Bengali, which handles suffix removal in a domain independent way. The evaluation of the proposed algorithm in a Bengali spelling checker indicates that it can be effectively used in information retrieval applications in general.
Bangla text input and rendering supports for short message sevice on Mobile devices
(BRAC University, 2006) Rownok, Tofazzal; Islam, Md. Zahurul; Khan, Mumit
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 effective and easy way now a day. It is faster, easier and you can communicate whenever you want from any-where. Mobile messaging or short message service is one of the popular ways to communicate using mobile devices. It is a big challenge to write and display Bangla characters on mobile devices. In this paper, we describe a Bangla text input method and rendering support on mobile devices for short message service.
JKimmo: A Multilingual computational mophology frame work for PC-KIMMO
(BRAC University, 2006) Islam, Md. Zahurul; Khan, Mumit
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 interfaces, the same cannot be said for Indic and other less-studied languages for which language processing is just beginning. There are three primary obstacles to computational morphological analysis of these less-studied languages: the generative rules that define the language morphology, the morphological processor, and the computational interface that a linguist can use to experiment with the generative rules. In this paper, we present JKimmo, a multilingual morphological open-source framework that uses the PC-KIMMO two-level morphological processor and provides a localized interface for Bangla morphological analysis. We then apply Jkimmo to Bangla computational morphology, demonstrating both its recognition and generation capabilities. Jkimmo’s internationalization (i18n) frame-work allows easy localization in other languages as well, using a property file for the interface definitions and a transliteration scheme for the analysis.