all AI news
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation. (arXiv:2209.02821v2 [cs.CL] UPDATED)
Sept. 13, 2022, 1:16 a.m. | Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch
cs.CL updates on arXiv.org arxiv.org
We propose a two-stage training approach for developing a single NMT model to
translate unseen languages both to and from English. For the first stage, we
initialize an encoder-decoder model to pretrained XLM-R and RoBERTa weights,
then perform multilingual fine-tuning on parallel data in 25 languages to
English. We find this model can generalize to zero-shot translations on unseen
languages. For the second stage, we leverage this generalization ability to
generate synthetic parallel data from monolingual datasets, then train with …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Analytics & Insight Specialist, Customer Success
@ Fortinet | Ottawa, ON, Canada
Account Director, ChatGPT Enterprise - Majors
@ OpenAI | Remote - Paris