An approach of handling verbal inflections of bengali text: Conversion of sadhu to cholito form of language

Mohammad Masudur Rahman, Ashraful Islam, Md Faisal Kabir, Mohammad Nurul Huda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Bengali language follows Subject-Object-Verb (SOV) structure for constructing sentences where verb plays a crucial role. Machine translation for Bengali becomes easier if the verb is identified correctly in a semantically valid sentence. However, Bengali verbs are affected by various complex inflections while using in a sentence. Those inflections are determined according to tense (time of occurring event), person (nature of the subject), Sadhu and Cholito forms (historical evolution of writing styles of Bengali) of language. In this study, we propose an algorithm to identify different inflections of Bengali verbs to retrieve verb roots and present an approach to convert Sadhu to Cholito form of writing Bengali sentences. The methodology shows satisfying accuracy and fluency in the context of language evaluation.

Original languageEnglish (US)
Title of host publication2019 22nd International Conference on Computer and Information Technology, ICCIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158426
DOIs
StatePublished - Dec 2019
Event22nd International Conference on Computer and Information Technology, ICCIT 2019 - Dhaka, Bangladesh
Duration: Dec 18 2019Dec 20 2019

Publication series

Name2019 22nd International Conference on Computer and Information Technology, ICCIT 2019

Conference

Conference22nd International Conference on Computer and Information Technology, ICCIT 2019
Country/TerritoryBangladesh
CityDhaka
Period12/18/1912/20/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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