Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models

18 July 2019

Papers citing "Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models"

8 / 8 papers shown

Title
CHEW: A Dataset of CHanging Events in Wikipedia Hsuvas Borkakoty Luis Espinosa-Anke 48 1 0 27 Jun 2024
Is Encoder-Decoder Redundant for Neural Machine Translation? Yingbo Gao Christian Herold Zijian Yang Hermann Ney 27 4 0 21 Oct 2022
Improving Neural Machine Translation by Bidirectional Training Liang Ding Di Wu Dacheng Tao 29 29 0 16 Sep 2021
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation Mozhdeh Gheini Xiang Ren Jonathan May LRM 22 105 0 18 Apr 2021
On the Sub-Layer Functionalities of Transformer Decoder Yilin Yang Longyue Wang Shuming Shi Prasad Tadepalli Stefan Lee Zhaopeng Tu 26 27 0 06 Oct 2020
Self-Attention with Cross-Lingual Position Representation Liang Ding Longyue Wang Dacheng Tao MILM 33 37 0 28 Apr 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015