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Improving the Lexical Ability of Pretrained Language Models for
  Unsupervised Neural Machine Translation

Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

18 March 2021
Alexandra Chronopoulou
Dario Stojanovski
Alexander M. Fraser
    SSL
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Papers citing "Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation"

14 / 14 papers shown
Title
Investigating Neural Machine Translation for Low-Resource Languages:
  Using Bavarian as a Case Study
Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study
Wan-Hua Her
Udo Kruschwitz
37
4
0
12 Apr 2024
Self-Augmented In-Context Learning for Unsupervised Word Translation
Self-Augmented In-Context Learning for Unsupervised Word Translation
Yaoyiran Li
Anna Korhonen
Ivan Vulić
22
5
0
15 Feb 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource
  Unsupervised Neural Machine Translation
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
Shilong Pan
Zhiliang Tian
Liang Ding
Zhen Huang
Zhihua Wen
Dongsheng Li
32
2
0
11 Jan 2024
On Bilingual Lexicon Induction with Large Language Models
On Bilingual Lexicon Induction with Large Language Models
Yaoyiran Li
Anna Korhonen
Ivan Vulić
26
3
0
21 Oct 2023
On the Copying Problem of Unsupervised NMT: A Training Schedule with a
  Language Discriminator Loss
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
Yihong Liu
Alexandra Chronopoulou
Hinrich Schütze
Alexander M. Fraser
19
2
0
26 May 2023
Investigating Lexical Sharing in Multilingual Machine Translation for
  Indian Languages
Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages
Sonal Sannigrahi
Rachel Bawden
29
0
0
04 May 2023
Denoising-based UNMT is more robust to word-order divergence than
  MASS-based UNMT
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT
Tamali Banerjee
V. Rudra Murthy
P. Bhattacharyya
25
0
0
02 Mar 2023
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow
  Interpolation
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation
Liping Tang
Zhen Li
Zhiquan Luo
H. Meng
OOD
15
0
0
07 Oct 2022
Domain-Specific Text Generation for Machine Translation
Domain-Specific Text Generation for Machine Translation
Yasmin Moslem
Rejwanul Haque
John D. Kelleher
Andy Way
10
16
0
11 Aug 2022
Improving Word Translation via Two-Stage Contrastive Learning
Improving Word Translation via Two-Stage Contrastive Learning
Yaoyiran Li
Fangyu Liu
Nigel Collier
Anna Korhonen
Ivan Vulić
33
29
0
15 Mar 2022
Cost-Effective Training in Low-Resource Neural Machine Translation
Cost-Effective Training in Low-Resource Neural Machine Translation
Sai Koneru
Danni Liu
J. Niehues
23
1
0
14 Jan 2022
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
29
147
0
01 Sep 2021
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An
  English to IndoAryan Case Study
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
Tamali Banerjee
V. Rudra Murthy
P. Bhattacharyya
13
9
0
09 Jun 2021
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
167
1,635
0
11 Oct 2017
1