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Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation
Subword tokenization is a common method for vocabulary building in Neural Machine
Translation (NMT) models. However, increasingly complex tasks have revealed its …
Translation (NMT) models. However, increasingly complex tasks have revealed its …
Progressive and Consistent Subword Regularization for Neural Machine Translation
Despite the prevalence of subword tokenization, its deterministic nature—splitting words into
unique output tokens, may limit models from fully exploiting the intricate semantic …
unique output tokens, may limit models from fully exploiting the intricate semantic …
Enhancing Medium-Sized Sentence Translation In English-Hindi NMT Using Clause-Based Approach
The issues of structural divergence, ambiguity, low resource language, and lack of training
data are present in neural machine translation from English-to-Hindi and Hindi-to-English …
data are present in neural machine translation from English-to-Hindi and Hindi-to-English …
Artificial Intelligence in Translation: The Menace, Promise, and Response to Technology and Superseded Practice
The integration of artificial intelligence (AI) into translation practice, teaching, and research
has transformed the domain of translation. In translation practice, AI-driven tools such as …
has transformed the domain of translation. In translation practice, AI-driven tools such as …