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Unsupervised Pidgin Text Generation By Pivoting English Data and
  Self-Training
v1v2 (latest)

Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training

18 March 2020
Ernie Chang
David Ifeoluwa Adelani
Xiaoyu Shen
Vera Demberg
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training"

14 / 14 papers shown
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
Jesujoba Oluwadara Alabi
Michael A. Hedderich
David Ifeoluwa Adelani
Dietrich Klakow
560
11
0
27 May 2025
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin
Low-Resource Cross-Lingual Adaptive Training for Nigerian PidginInterspeech (Interspeech), 2023
Pin-Jie Lin
Muhammed Saeed
Ernie Chang
Merel C. J. Scholman
280
8
0
01 Jul 2023
Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer
  in Low-Resource Dialog Generation
Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer in Low-Resource Dialog Generation
Lei Shen
Shuai Yu
Xiaoyu Shen
185
0
0
21 May 2023
How Good are Commercial Large Language Models on African Languages?
How Good are Commercial Large Language Models on African Languages?
Jessica Ojo
Kelechi Ogueji
200
6
0
11 May 2023
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation
  for Multi-turn Dialogue
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
Anant Khandelwal
OffRL
357
6
0
01 Aug 2021
Learning Fine-grained Fact-Article Correspondence in Legal Cases
Learning Fine-grained Fact-Article Correspondence in Legal CasesIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021
Jidong Ge
Yunyun Huang
Xiaoyu Shen
Chuanyi Li
Wei Hu
AILaw
359
34
0
21 Apr 2021
Neural Data-to-Text Generation with LM-based Text Augmentation
Neural Data-to-Text Generation with LM-based Text AugmentationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Ernie Chang
Xiaoyu Shen
D. Zhu
Vera Demberg
Hui Su
198
46
0
06 Feb 2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text
  Generation with Curriculum Learning
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Ernie Chang
Hui-Syuan Yeh
Vera Demberg
317
47
0
06 Feb 2021
Jointly Improving Language Understanding and Generation with
  Quality-Weighted Weak Supervision of Automatic Labeling
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic LabelingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Ernie Chang
Vera Demberg
Alex Marin
NoLa
188
25
0
06 Feb 2021
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
Frederik Wiehr
Anke Hirsch
Florian Daiber
Antonio Kruger
Alisa Kovtunova
Stefan Borgwardt
Ernie Chang
Vera Demberg
Marcel Steinmetz
Hoffmann Jorg
188
4
0
21 Oct 2020
Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin
Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin
Amina Mardiyyah Rufai
Afolabi Abeeb
Esther Oduntan
Tayo Arulogun
Oluwabukola Adegboro
Daniel Ajisafe
335
5
0
21 Oct 2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation ToolInternational Conference on Computational Linguistics (COLING), 2020
Ernie Chang
J. Caplinger
Alex Marin
Xiaoyu Shen
Vera Demberg
274
18
0
08 Oct 2020
Diversifying Dialogue Generation with Non-Conversational Text
Diversifying Dialogue Generation with Non-Conversational Text
Hui Su
Xiaoyu Shen
Sanqiang Zhao
Xiao Zhou
Pengwei Hu
Randy Zhong
Cheng Niu
Jie Zhou
235
47
0
09 May 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and
  Correspondence
Neural Data-to-Text Generation via Jointly Learning the Segmentation and CorrespondenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Xiaoyu Shen
Ernie Chang
Hui Su
Jie Zhou
Dietrich Klakow
244
51
0
03 May 2020
1
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