Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?

17 October 2024

Papers citing "Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?"

3 / 3 papers shown

Title
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages Idris Abdulmumin Michael Beukman Jesujoba Oluwadara Alabi Chris C. Emezue Everlyn Asiko ... Shamsuddeen Hassan Muhammad Mofetoluwa Adeyemi Oreen Yousuf Sahib Singh T. Gwadabe 21 6 0 19 Oct 2022
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 242 269 0 30 Sep 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015