A survey of multilingual neural machine translation
We present a survey on multilingual neural machine translation (MNMT), which has gained
a lot of traction in recent years. MNMT has been useful in improving translation quality as a …
a lot of traction in recent years. MNMT has been useful in improving translation quality as a …
Survey of low-resource machine translation
We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …
research. There are currently around 7,000 languages spoken in the world and almost all …
Domain adaptation and multi-domain adaptation for neural machine translation: A survey
The development of deep learning techniques has allowed Neural Machine Translation
(NMT) models to become extremely powerful, given sufficient training data and training time …
(NMT) models to become extremely powerful, given sufficient training data and training time …
Chain-of-dictionary prompting elicits translation in large language models
Large language models (LLMs) have shown surprisingly good performance in multilingual
neural machine translation (MNMT) even when trained without parallel data. Yet, despite the …
neural machine translation (MNMT) even when trained without parallel data. Yet, despite the …
Dictionary-based phrase-level prompting of large language models for machine translation
Large language models (LLMs) demonstrate remarkable machine translation (MT) abilities
via prompting, even though they were not explicitly trained for this task. However, even given …
via prompting, even though they were not explicitly trained for this task. However, even given …
Measuring and mitigating name biases in neural machine translation
Abstract Neural Machine Translation (NMT) systems exhibit problematic biases, such as
stereotypical gender bias in the translation of occupation terms into languages with …
stereotypical gender bias in the translation of occupation terms into languages with …
Lexically constrained neural machine translation with Levenshtein transformer
This paper proposes a simple and effective algorithm for incorporating lexical constraints in
neural machine translation. Previous work either required re-training existing models with …
neural machine translation. Previous work either required re-training existing models with …
CSP: code-switching pre-training for neural machine translation
This paper proposes a new pre-training method, called Code-Switching Pre-training (CSP
for short) for Neural Machine Translation (NMT). Unlike traditional pre-training method which …
for short) for Neural Machine Translation (NMT). Unlike traditional pre-training method which …
[PDF][PDF] Lexical-constraint-aware neural machine translation via data augmentation
Leveraging lexical constraint is extremely significant in domain-specific machine translation
and interactive machine translation. Previous studies mainly focus on extending beam …
and interactive machine translation. Previous studies mainly focus on extending beam …
EDITOR: An edit-based transformer with repositioning for neural machine translation with soft lexical constraints
We introduce an Edi t-Based T ransf O rmer with R epositioning (EDITOR), which makes
sequence generation flexible by seamlessly allowing users to specify preferences in output …
sequence generation flexible by seamlessly allowing users to specify preferences in output …