Dense Information Flow for Neural Machine Translation

doi 10.18653/v1/n18-1117
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computational Linguistics

Related search

Six Challenges for Neural Machine Translation

2017English

Detecting Untranslated Content for Neural Machine Translation

Journal of Natural Language Processing
2018English

Sogou Neural Machine Translation Systems for WMT17

2017English

Sentiment Aware Neural Machine Translation

2019English

Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation

2018English

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

The Prague Bulletin of Mathematical Linguistics
2017English

LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts

2017English

Modeling Past and Future for Neural Machine Translation

Transactions of the Association for Computational Linguistics
2018English

OpenNMT: Open-Source Toolkit for Neural Machine Translation

2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy