Overview

This book is a study of modern Bengali words based on the data obtained from a corpus of written texts. The author has used all kinds of data, information and examples from the Bengali corpus to shape up this text. He has made an empirical attempt to analyse Bengali words and other lexical items from the perspective of their surface orthographic representation to understand the internal structure of their composition with a focus on their functional roles in various contexts of their usage within texts. In order to achieve this goal, he has established a link between the internal composition and external representation of words within an interface of usage and function of words in texts. The issues addressed in the book include decomposition of words, interpretation of function of word-formative elements and analysis of lexico-semantic identities of the word-formative elements in relation to their function in words.

Full Product Details

Author:   Niladri Sekhar Dash (Indian Statistical Institute, New Delhi)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.90cm , Height: 3.00cm , Length: 23.70cm
Weight:   0.740kg
ISBN:  

9781107064249

ISBN 10:   1107064244
Pages:   372
Publication Date:   15 January 2015
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Author Information

Niladri Sekhar Dash is an Assistant Professor at the Linguistic Research Unit, Indian Statistical Institute, Kolkata, India. He developed an electronic dictionary of modern Bengali which contains nearly sixty thousand words with information on orthography, part-of-speech, meaning, synonyms, and usage for each entry word. The dictionary is used to develop an electronic Bengali-English bilingual dictionary and software for automatic correction of spelling errors in Bengali words. Dash's research interests include language technology, machine translation and natural language processing.

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