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Neural machine translation: A review
The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …
natural language into another, has experienced a major paradigm shift in recent years …
A survey of deep learning techniques for neural machine translation
In recent years, natural language processing (NLP) has got great development with deep
learning techniques. In the sub-field of machine translation, a new approach named Neural …
learning techniques. In the sub-field of machine translation, a new approach named Neural …
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 …
Six challenges for neural machine translation
We explore six challenges for neural machine translation: domain mismatch, amount of
training data, rare words, long sentences, word alignment, and beam search. We show both …
training data, rare words, long sentences, word alignment, and beam search. We show both …
Retrieval-based neural source code summarization
Source code summarization aims to automatically generate concise summaries of source
code in natural language texts, in order to help developers better understand and maintain …
code in natural language texts, in order to help developers better understand and maintain …
An analysis of encoder representations in transformer-based machine translation
The attention mechanism is a successful technique in modern NLP, especially in tasks like
machine translation. The recently proposed network architecture of the Transformer is based …
machine translation. The recently proposed network architecture of the Transformer is based …
Fast lexically constrained decoding with dynamic beam allocation for neural machine translation
The end-to-end nature of neural machine translation (NMT) removes many ways of manually
guiding the translation process that were available in older paradigms. Recent work …
guiding the translation process that were available in older paradigms. Recent work …
A survey of domain adaptation for machine translation
Neural machine translation (NMT) is a deep learning based approach for machine
translation, which outperforms traditional statistical machine translation (SMT) and yields the …
translation, which outperforms traditional statistical machine translation (SMT) and yields the …
Making sense of neural machine translation
The last few years have witnessed a surge in the interest of a new machine translation
paradigm: neural machine translation (NMT). Neural machine translation is starting to …
paradigm: neural machine translation (NMT). Neural machine translation is starting to …
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 …