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Speaker Information Can Guide Models to Better Inductive Biases: A Case
  Study On Predicting Code-Switching

Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching

16 March 2022
Alissa Ostapenko
S. Wintner
Melinda Fricke
Yulia Tsvetkov
ArXivPDFHTML

Papers citing "Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching"

3 / 3 papers shown
Title
A Survey of Code-switching: Linguistic and Social Perspectives for
  Language Technologies
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
A. Seza Doğruöz
Sunayana Sitaram
Barbara E. Bullock
Almeida Jacqueline Toribio
72
72
0
05 Jan 2023
The Decades Progress on Code-Switching Research in NLP: A Systematic
  Survey on Trends and Challenges
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
Genta Indra Winata
Alham Fikri Aji
Zheng-Xin Yong
Thamar Solorio
37
33
0
19 Dec 2022
Code-Switched Language Models Using Neural Based Synthetic Data from
  Parallel Sentences
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
Genta Indra Winata
Andrea Madotto
Chien-Sheng Wu
Pascale Fung
SyDa
124
92
0
18 Sep 2019
1