◍wovepaper
SearchResearchersInstitutions
Sign in
cs.CLDec 11, 2019
34
citations (OpenAlex)
authors
  • Rumeng Li
  • Xun Wang
  • Hong Yu
institutions
  • Edith Nourse Rogers Memorial Veterans Hospital
  • University of Massachusetts Amherst
  • University of Massachusetts Chan Medical School
  • University of Massachusetts Lowell
arXiv abstractPDF
paper

MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation

arXiv:1912.05467 · doi:10.1609/aaai.v34i05.6339

Abstract

Manipulating training data leads to robust neural models for MT.

References in corpus (6)

  • A Simple, Fast Diverse Decoding Algorithm for Neural Generation
  • A Survey of Domain Adaptation for Neural Machine Translation
  • Meta-Learning: A Survey
  • An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation
  • Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
  • Curriculum Learning for Domain Adaptation in Neural Machine Translation

Cited by in corpus (2)

  • Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
  • Rapid Domain Adaptation for Machine Translation with Monolingual Data
◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.