首页|Findings from National Institute of Technology Hamirpur in the Area of Machine Translation Described (Efficient Data Augmenta- tion Via Lexical Matching for Boosting Performance On Statistical Machine Translation for Indic and a Low-resource ...)
Findings from National Institute of Technology Hamirpur in the Area of Machine Translation Described (Efficient Data Augmenta- tion Via Lexical Matching for Boosting Performance On Statistical Machine Translation for Indic and a Low-resource ...)
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NETL
NSTL
Springer Nature
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Translation are presented in a new report. According to news reporting out of Hamirpur, India, by NewsRx editors, research stated, “With the fast advancement of AI technology in recent years, many excellent Data Augmentation (DA) approaches have been investigated to increase data efficiency in Natural Language Processing (NLP). The reliance on a large amount of data prohibits NLP models from performing tasks such as labelling enormous amounts of textual data, which require a substantial amount of time, money, and human resources; hence, a better model requires more data.”
HamirpurIndiaAsiaEmerging TechnologiesMachine Learn- ingMachine TranslationNational Institute of Technology Hamirpur
NETL
NSTL
Springer Nature
