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Found 5 papers, 1 papers with code
Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text
We train an English–to–Hindi neural machine translation (NMT) system to translate the product reviews available on e-commerce websites.
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework
Machine Translation (MT) systems often fail to preserve different stylistic and pragmatic properties of the source text (e. g. sentiment and emotion and gender traits and etc.)
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation
Given that 44% of Indian population speaks and operates in Hindi language and we address the above challenges by presenting an English–to–Hindi neural machine translation (NMT) system to translate the product reviews available on e-commerce websites by creating an in-domain parallel corpora and handling various types of noise in reviews via two data augmentation techniques and viz.
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards
Translating questions using Neural Machine Translation (NMT) poses more challenges, especially in noisy environments, where the grammatical correctness of the questions is not monitored.
Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation
We propose a transformer-based approach for code-mix query translation to enable users to search with these queries.
