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On Long-Tailed Phenomena in Neural Machine Translation

On Long-Tailed Phenomena in Neural Machine Translation

10 October 2020
Vikas Raunak
Siddharth Dalmia
Vivek Gupta
Florian Metze
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Papers citing "On Long-Tailed Phenomena in Neural Machine Translation"

6 / 6 papers shown
Title
Number Cookbook: Number Understanding of Language Models and How to Improve It
Number Cookbook: Number Understanding of Language Models and How to Improve It
Haotong Yang
Yi Hu
Shijia Kang
Zhouchen Lin
Muhan Zhang
LRM
41
2
0
06 Nov 2024
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
Langlin Huang
Mengyu Bu
Yang Feng
21
0
0
03 Nov 2024
Token-Level Fitting Issues of Seq2seq Models
Token-Level Fitting Issues of Seq2seq Models
Guangsheng Bao
Zhiyang Teng
Yue Zhang
16
0
0
08 May 2023
CTC Alignments Improve Autoregressive Translation
CTC Alignments Improve Autoregressive Translation
Brian Yan
Siddharth Dalmia
Yosuke Higuchi
Graham Neubig
Florian Metze
A. Black
Shinji Watanabe
36
33
0
11 Oct 2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and
  Global Context for Speech Recognition and Understanding
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Yifan Peng
Siddharth Dalmia
Ian Lane
Shinji Watanabe
19
141
0
06 Jul 2022
On Distinctive Image Captioning via Comparing and Reweighting
On Distinctive Image Captioning via Comparing and Reweighting
Jiuniu Wang
Wenjia Xu
Qingzhong Wang
Antoni B. Chan
30
16
0
08 Apr 2022
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