English to Hindi Translation System Using Hybrid Techniques

Title

English to Hindi Translation System Using Hybrid Techniques

Creator

Rajora B.; Yogish D.; Elappila M.

Description

Good communication is critical for overcoming cultural and linguistic divides in today's internationalized society. An essential communication component is the Translation of written materials, primarily academic papers, from one language into another. This abstract focuses on the research involved in translating academic publications from Hindi to English. Translating Hindi academic papers into English is naturally hard due to the significant linguistic and cultural differences between the two languages. The proposed work provided an analytical analysis of various models used in language translation, including the seq-to-seq model, MT5, and LSTM, with the help of BLEU score, Learning rate, and average loss. MT5 model outshines others in terms of an average loss of 4.75; meanwhile, LSTM has an average loss of 5.56, and the seq-to-seq model has an average loss of 6.09, implying weaker Translation. 2024 IEEE.

Source

Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

CNN; LSTM; MT5; NLP; RNN; SEQ-TO-SEQ

Coverage

Rajora B., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India; Yogish D., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India; Elappila M., CHRIST (Deemed to be University), Department of Computer Science and Engineering, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835038365-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/InC460750.2024.10649378

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203809572&doi=10.1109%2fInC460750.2024.10649378&partnerID=40&md5=0e086e6c94355700d3ad1321f6138543