Transformer: A general framework from machine translation to others
Abstract Machine translation is an important and challenging task that aims at automatically
translating natural language sentences from one language into another. Recently …
translating natural language sentences from one language into another. Recently …
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
The rapid development and application of natural language generation (NLG) techniques
has revolutionized the field of automatic text production. However, these techniques are still …
has revolutionized the field of automatic text production. However, these techniques are still …
Efficient domain adaptation for non-autoregressive machine translation
Abstract Domain adaptation remains a challenge in the realm of Neural Machine Translation
(NMT), even in the era of large language models (LLMs). Existing non-parametric …
(NMT), even in the era of large language models (LLMs). Existing non-parametric …
Entityrank: Unsupervised mining of bilingual named entity pairs from parallel corpora for neural machine translation
As Neural Machine Translation (NMT) heavily relies on training data, finding an effective
method to help NMT make better use of limited data is of great significance. In this paper …
method to help NMT make better use of limited data is of great significance. In this paper …
Integrating translation memories into non-autoregressive machine translation
Non-autoregressive machine translation (NAT) has recently made great progress. However,
most works to date have focused on standard translation tasks, even though some edit …
most works to date have focused on standard translation tasks, even though some edit …
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints
Lexically-constrained NMT (LNMT) aims to incorporate user-provided terminology into
translations. Despite its practical advantages, existing work has not evaluated LNMT models …
translations. Despite its practical advantages, existing work has not evaluated LNMT models …
Writing in two languages: Neural machine translation as an assistive bilingual writing tool
J Xu - 2022 - theses.hal.science
In an increasingly global world, more situations appear where people need to express
themselves in a foreign language or multiple languages. However, for many people, writing …
themselves in a foreign language or multiple languages. However, for many people, writing …