Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5
for Machine Translation

Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation

28 February 2023

Antonio Toral

Gertjan van Noord

Arianna Bisazza

Papers citing "Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation"

8 / 8 papers shown

Title
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation Langlin Huang Mengyu Bu Yang Feng 33 0 0 03 Nov 2024
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? Seth Aycock David Stap Di Wu Christof Monz Khalil Simaán 36 2 0 27 Sep 2024
Neural Semantic Parsing with Extremely Rich Symbolic Meaning Representations Xiao Zhang Gosse Bouma Johan Bos NAI 33 0 0 19 Apr 2024
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification Jasmijn Bastings Sebastian Ebert Polina Zablotskaia Anders Sandholm Katja Filippova 115 75 0 14 Nov 2021
Why don't people use character-level machine translation? Jindrich Libovický Helmut Schmid Alexander Fraser 65 28 0 15 Oct 2021
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets Jörg Tiedemann Preslav Nakov 36 21 0 27 Sep 2021
Word Alignment by Fine-tuning Embeddings on Parallel Corpora Zi-Yi Dou Graham Neubig 96 257 0 20 Jan 2021
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters Hicham El Boukkouri Olivier Ferret Thomas Lavergne Hiroshi Noji Pierre Zweigenbaum Junichi Tsujii 77 156 0 20 Oct 2020