Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response

Domain:

natural language processing

Record type:

paper

We report our experiments in building a domain-specific Tigrinya-to-English neural machine translation system. We use transfer learning from other Ge'ez script languages and report an improvement of 1.3 BLEU points over a classic neural baseline. We publish our development pipeline as an open-source library and also provide a demonstration application.

Trivial Transfer Learning for Low-Resource Neural Machine Translation

Transfer learning has been proven as an effective technique for neural machine translation under low

Congolese Swahili Machine Translation for Humanitarian Response

In this paper we describe our efforts to make a bidirectional Congolese Swahili (SWC) to French (FRA) neural machine translation system with the motivation of improving humanitarian translation workflows. For training, we created a 25,302-sentence general domain pa

A First Look into Neural Machine Translation for Tigrinya

Neural Machine Translation of Mauritian Creole to English Using Transfer Learning

Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation

Training Neural Machine Translation (NMT) models suffers from sparse parallel data, in the infrequen

A Universal Parent Model for Low-Resource Neural Machine Translation Transfer

Transfer learning from a high-resource language pair `parent' has been proven to be an effective way

Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response

Domain:

Record type:

Visit

Tasks

Languages