material ID: flores101

Related Papers

Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we describe the submission of the joint Samsung Research Philippines-Konvergen AI team for the WMT’21 Large Scale Multilingual Translation Task - Small Track 2. We submit a …...

27743

MMTAfrica: Multilingual Machine Translation for African Languages

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we focus on the task of multilingual machine translation for African languages and describe our contribution in the 2021 WMT Shared Task: Large-Scale Multilingual Machine Translation. We …...

27747

Few-shot Learning with Multilingual Generative Language Models

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLarge-scale generative language models such as GPT-3 are competitive few-shot learners. While these models are known to be able to jointly represent many different languages, their training data is dominated …...

30236

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn recent years, multilingual machine translation models have achieved promising performance on low-resource language pairs by sharing information between similar languages, thus enabling zero-shot translation. To overcome the “curse of …...

30338

The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractOne of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, …...

26761