TY - GEN
T1 - An approach of handling verbal inflections of bengali text
T2 - 22nd International Conference on Computer and Information Technology, ICCIT 2019
AU - Rahman, Mohammad Masudur
AU - Islam, Ashraful
AU - Kabir, Md Faisal
AU - Huda, Mohammad Nurul
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85082981935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082981935&partnerID=8YFLogxK
U2 - 10.1109/ICCIT48885.2019.9038570
DO - 10.1109/ICCIT48885.2019.9038570
M3 - Conference contribution
AN - SCOPUS:85082981935
T3 - 2019 22nd International Conference on Computer and Information Technology, ICCIT 2019
BT - 2019 22nd International Conference on Computer and Information Technology, ICCIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 December 2019 through 20 December 2019
ER -