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Exploiting Linguistic Resources for Neural Machine Translation Using
  Multi-task Learning

Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

3 August 2017
Jan Niehues
Eunah Cho
ArXivPDFHTML

Papers citing "Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning"

15 / 15 papers shown
Title
Context-Aware Machine Translation with Source Coreference Explanation
Context-Aware Machine Translation with Source Coreference Explanation
Huy Hien Vu
Hidetaka Kamigaito
Taro Watanabe
LRM
44
2
0
30 Apr 2024
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
Srinagesh Sharma
Guoqing Zheng
Ahmed Hassan Awadallah
27
1
0
09 Sep 2021
Survey of Low-Resource Machine Translation
Survey of Low-Resource Machine Translation
Barry Haddow
Rachel Bawden
Antonio Valerio Miceli Barone
Jindvrich Helcl
Alexandra Birch
AIMat
45
150
0
01 Sep 2021
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task
  Learning
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning
S. Kumari
Vibhav Agarwal
B. Challa
Kranti Chalamalasetti
Sourav Ghosh
Harshavardhana
Barath Raj Kandur Raja
24
1
0
15 Dec 2020
Multi-task Learning for Multilingual Neural Machine Translation
Multi-task Learning for Multilingual Neural Machine Translation
Yiren Wang
Chengxiang Zhai
Hany Awadalla
37
68
0
06 Oct 2020
Learning to Multi-Task Learn for Better Neural Machine Translation
Learning to Multi-Task Learn for Better Neural Machine Translation
Poorya Zaremoodi
Gholamreza Haffari
29
3
0
10 Jan 2020
Syntax-Infused Transformer and BERT models for Machine Translation and
  Natural Language Understanding
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding
Dhanasekar Sundararaman
Vivek Subramanian
Guoyin Wang
Shijing Si
Dinghan Shen
Dong Wang
Lawrence Carin
19
40
0
10 Nov 2019
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue
  Response Models
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models
Tianxing He
Jun Liu
Kyunghyun Cho
Myle Ott
Bing-Quan Liu
James R. Glass
Fuchun Peng
CLL
35
9
0
16 Oct 2019
Improving Zero-shot Translation with Language-Independent Constraints
Improving Zero-shot Translation with Language-Independent Constraints
Ngoc-Quan Pham
Jan Niehues
Thanh-Le Ha
A. Waibel
31
60
0
20 Jun 2019
AutoLoss: Learning Discrete Schedules for Alternate Optimization
AutoLoss: Learning Discrete Schedules for Alternate Optimization
Haowen Xu
Huatian Zhang
Zhiting Hu
Xiaodan Liang
Ruslan Salakhutdinov
Eric Xing
32
30
0
04 Oct 2018
Toward a Standardized and More Accurate Indonesian Part-of-Speech
  Tagging
Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging
Kemal Kurniawan
Alham Fikri Aji
21
19
0
10 Sep 2018
Multi-Task Learning for Sequence Tagging: An Empirical Study
Multi-Task Learning for Sequence Tagging: An Empirical Study
Soravit Changpinyo
Hexiang Hu
Fei Sha
29
67
0
13 Aug 2018
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep
  Multi-task Learning Approach
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach
Poorya Zaremoodi
Gholamreza Haffari
22
19
0
11 May 2018
Scheduled Multi-Task Learning: From Syntax to Translation
Scheduled Multi-Task Learning: From Syntax to Translation
E. Kiperwasser
Miguel Ballesteros
30
82
0
24 Apr 2018
Multi-Way, Multilingual Neural Machine Translation with a Shared
  Attention Mechanism
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
Kyunghyun Cho
Yoshua Bengio
LRM
AIMat
234
624
0
06 Jan 2016
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