Linguistic Divergence in Low Resource Language Machine Translation. Dieser Artikel ist nicht verfügbar.Linguistic Divergence in Low Resource Language Machine Translation

Machine Translation (MT) is a field of computational linguistics (CL) and Natural Language Processing (NLP). Use the Machine Translation software to translate between different languages using MT approaches. The goal is to bridge the communication gap between groups, communities, or nations that speak two distinct languages. India has many scripts used in languages that are very different from one another, which increases the demand for language translation. MT is used to translate text from one natural language known as the Source Language to another known as the target Language. The use of comprehensive linguistic knowledge, including grammar, morphology, and machine translation as a whole by humans, which means that all of these factors are taken into consideration, prevents machine translation from simply replacing words. Morphological analysis, POS tagging, chunking, parsing, and word sense disambiguation are key objectives of machine translation. In the machine translation research area divergence is one of the major barriers in the English to Marathi language. The complexity that occurs in the specific translation, and divergence affect the language translation quality.

I am Simran N. Maniyar Pursuing Ph. D in Computer Science and IT, Dr.Babasaheb Ambedkar Marathwada University Chh.  Sambhajinagar. published 12 research papers in reputed IEEE conferences, Scopus-indexed journals, and peer-reviewed international journals. Her research contributions span multiple areas of NLP, Machine Translation, Remote Sensing.