Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models

24 October 2021

Papers citing "Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models"

7 / 7 papers shown

Title
Making Sentence Embeddings Robust to User-Generated Content Lydia Nishimwe Benoît Sagot Rachel Bawden 3DV 30 1 0 25 Mar 2024
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training Jing-ling Huang Zhengxuan Wu Kyle Mahowald Christopher Potts 24 13 0 19 Dec 2022
What do tokens know about their characters and how do they know it? Ayush Kaushal Kyle Mahowald 26 28 0 06 Jun 2022
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP Sabrina J. Mielke Zaid Alyafeai Elizabeth Salesky Colin Raffel Manan Dey ... Arun Raja Chenglei Si Wilson Y. Lee Benoît Sagot Samson Tan 32 141 0 20 Dec 2021
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios? Arij Riabi Benoît Sagot Djamé Seddah 31 15 0 26 Oct 2021
OpenNMT: Neural Machine Translation Toolkit Guillaume Klein Yoon Kim Yuntian Deng Vincent Nguyen Jean Senellart Alexander M. Rush 144 119 0 28 May 2018
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 2017