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Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses

Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses

15 October 2020
Prathyusha Jwalapuram
Shafiq R. Joty
Youlin Shen
ArXivPDFHTML

Papers citing "Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses"

4 / 4 papers shown
Title
A baseline revisited: Pushing the limits of multi-segment models for
  context-aware translation
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation
Suvodeep Majumde
Stanislas Lauly
Maria Nadejde
Marcello Federico
Georgiana Dinu
30
13
0
19 Oct 2022
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in
  English via Neural Machine Translation
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Denghao Li
Yuqiao Zeng
Jianzong Wang
Lingwei Kong
Zhangcheng Huang
Ning Cheng
Xiaoyang Qu
Jing Xiao
18
1
0
30 Sep 2022
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
19
85
0
14 Apr 2021
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,208
0
12 Jun 2017
1