Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages

19 October 2022

Papers citing "Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages"

6 / 6 papers shown

Title
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good? Idris Abdulmumin B. Galadanci G. Aliyu Shamsuddeen Hassan Muhammad 21 1 0 17 Oct 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning E. Chimoto Jay Gala Orevaoghene Ahia Julia Kreutzer Bruce A. Bassett Sara Hooker VLM 29 4 0 29 May 2024
Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource Languages Idris Abdulmumin Auwal Abubakar Khalid Shamsuddeen Hassan Muhammad I. Ahmad L. Aliyu Babangida Sani B.M. Abduljalil Sani Ahmad Hassan 13 0 0 20 Nov 2023
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) Shamsuddeen Hassan Muhammad Idris Abdulmumin Seid Muhie Yimam David Ifeoluwa Adelani I. Ahmad N. Ousidhoum A. Ayele Saif M. Mohammad Meriem Beloucif Sebastian Ruder 30 66 0 13 Apr 2023
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages Manuel A. Fokam Michael Beukman 19 0 0 09 Aug 2022
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017