Publication Type : Book Chapter
Publisher : Springer International Publishing, Cham
Source : Applications in Ubiquitous Computing, Springer International Publishing, Cham, p.247–263 (2021)
Url : https://doi.org/10.1007/978-3-030-35280-6_12
ISBN : 9783030352806
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electrical and Electronics
Year : 2021
Abstract : Functional and content words are highly expressive. The functional words like adpositions and auxiliary verbs, modal auxiliary verbs, and helping verbs are polysemic and synonymic in nature. They play a vital role in determining the syntactic and semantics of natural languages. In the context of machine translation (MT), the issues related to them still remain a major problem. This study aims to develop a sample knowledge-based method of MT system, which is able to handle the linguistic specificities of the source (SL) and target (TL) languages.
Cite this Research Publication : Jyothi D. Ratnam, Dr. Soman K. P., Bijimol T. K., Priya M. G., and B. Premjith, “Hybrid Machine Translation System for the Translation of Simple English Prepositions and Periphrastic Causative Constructions from English to Hindi”, in Applications in Ubiquitous Computing, R. Kumar and Paiva, S., Eds. Cham: Springer International Publishing, 2021, pp. 247–263.