AfriMMT-EA: Multi-domain Machine Translation for Low-Resource East African Languages

Type de record:

paper

Créateur:

NaoKelNatDav

Éditeur:

Ass

Hôte:

Selecting data for multilingual multi-domain neural machine translation on low resource languages

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] While machine translation ha

Low-Resource Neural Machine Translation for Southern African Languages

Low-resource African languages have not fully benefited from the progress in neural machine translat

TWIENG: A Multi-Domain Twi-English Parallel Corpus for Machine Translation of Twi, a Low-Resource African Language

A Twi-English parallel corpus is certainly an important resource for Machine Translation of Twi (ISO

Lesan -- Machine Translation for Low Resource Languages

Millions of people around the world can not access content on the Web because most of the content is not readily available in their language. Machine translation (MT) systems have the potential to change this for many languages. Current MT systems provide very accu

Lesan: Machine Translation for Low Resource Languages

Human evaluation dataset to evaluate machine translation systems to and from Amharic, English and Tigrinya.

Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity

Fine-tuning and testing a multilingual large language model is expensive and challenging for low-res