Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures
Translation

v1v2 (latest)

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation

26 December 2019

Sadao Kurohashi

ArXiv (abs)PDF HTML

Papers citing "Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation"

8 / 8 papers shown

Title
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation Aizhan Imankulova Raj Dabre Atsushi Fujita K. Imamura 59 32 0 06 Jul 2019
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings Vishrav Chaudhary Y. Tang Francisco Guzmán Holger Schwenk Philipp Koehn 65 79 0 20 Jun 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation Wei Wang Isaac Caswell Ciprian Chelba 79 59 0 03 Jun 2019
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation Xinyi Wang Graham Neubig 57 26 0 20 May 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 373 1,225 0 12 Jun 2017
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 257 2,723 0 20 Nov 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 224 7,755 0 31 Aug 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,584 0 10 Sep 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.