Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models

15 February 2023

Papers citing "Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models"

5 / 5 papers shown

Title
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages Abteen Ebrahimi Manuel Mager Arturo Oncevay Vishrav Chaudhary Luis Chiruzzo ... Graham Neubig Alexis Palmer Rolando A. Coto Solano Ngoc Thang Vu Katharina Kann 111 72 0 18 Apr 2021
Word Alignment by Fine-tuning Embeddings on Parallel Corpora Zi-Yi Dou Graham Neubig 98 258 0 20 Jan 2021
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models Benjamin Muller Antonis Anastasopoulos Benoît Sagot Djamé Seddah LRM 136 165 0 24 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 213 1,656 0 16 Mar 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,209 0 12 Jun 2017