Amanote Research

Amanote Research

    RegisterSign In

Pivot-Based Transfer Learning for Neural Machine Translation Between Non-English Languages

doi 10.18653/v1/d19-1080
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2019

Authors
Yunsu KimPetre PetrovPavel PetrushkovShahram KhadiviHermann Ney
Publisher

Association for Computational Linguistics


Related search

Improving Arabic-Chinese Statistical Machine Translation Using English as Pivot Language

2009English

Improving Neural Machine Translation by Achieving Knowledge Transfer With Sentence Alignment Learning

2019English

Dependency-Based Pre-Ordering for Chinese-English Machine Translation

2014English

Learning to Generate Word- And Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation

2019English

Linguistically Motivated Vocabulary Reduction for Neural Machine Translation From Turkish to English

The Prague Bulletin of Mathematical Linguistics
2017English

a Parallel Corpus for Evaluating Machine Translation Between Arabic and European Languages

2017English

Six Challenges for Neural Machine Translation

2017English

Machine Translation Development for Indian Languages and Its Approaches

International Journal on Natural Language Computing
2015English

Disambiguating "DE" for Chinese-English Machine Translation

2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy