Our method tags parallel training data according to the naturalness of the target side by contrasting language models trained on natural and translated data.
May 22, 2022 · This means that, even when considered accurate and flu- ent, MT output can still sound less natural than high quality human translations or text.
Request PDF | On Jan 1, 2022, Markus Freitag and others published A Natural Diet: Towards Improving Naturalness of Machine Translation Output | Find, read and
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A Natural Diet: Towards Improving Naturalness of Machine Translation Output ... Machine Translation. ACL 2022. +1 Roberto Navigli Federico Martelli.
A Natural Diet: Towards Improving Naturalness of Machine Translation Output ... In this work we propose a method for training MT systems to achieve a more natural ...
A Natural Diet: Towards Improving Naturalness of Machine Translation Output · Markus Freitag · David Vilar Torres. David Grangier. Colin Cherry. George Foster.
In this work we propose a method for training MT systems to achieve a more natural style, i. e. mirroring the style of text originally written in the target ...
Oct 23, 2024 · To mitigate this issue, we also propose a simple and effective alignment method to improve the naturalness of an LLM in a target language and.
A Natural Diet: Towards Improving Naturalness of Machine Translation Output. Markus Freitag and 4 other authors. The Trade-offs of Domain Adaptation for ...
Oct 21, 2024 · A natural diet: Towards improving naturalness of machine translation output. In Findings of the Association for Computational Linguistics ...