Amanote Research

Amanote Research

    RegisterSign In

an Empirical Study on the Effectiveness of Images in Multimodal Neural Machine Translation

doi 10.18653/v1/d17-1095
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2017

Authors
Jean-Benoit DelbrouckStéphane Dupont
Publisher

Association for Computational Linguistics


Related search

Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation

The Prague Bulletin of Mathematical Linguistics
2017English

Empirical Investigation of Optimization Algorithms in Neural Machine Translation

The Prague Bulletin of Mathematical Linguistics
2017English

an Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation

2017English

Multimodal Neural Machine Translation Using CNN and Transformer Encoder

EasyChair Preprints
2019English

Sentiment Aware Neural Machine Translation

2019English

On the Importance of Word Boundaries in Character-Level Neural Machine Translation

2019English

Six Challenges for Neural Machine Translation

2017English

Sequence-To-Dependency Neural Machine Translation

2017English

Talking to the Conversation Machine: An Empirical Study

1997English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy