This paper describes our approach to create a neural machine translation system to translate between English and Swahili (both directions) in the news domain, as well as the process we followed to crawl the necessary parallel corpora from the Internet. We report the results of a pilot human evaluation performed by the news media organisations participating in the H2020 EU-funded project GoURME
Neural machine translation is a new approach to machine translation that has shown the effective res...
Abstract: In this article we survey four different electronic bilingual dictionaries for the lan-gu...
Many automatic translation works have been addressed between major European language pairs, by takin...
This paper describes our approach to create a neural machine translation system to translate between...
A Project Report Submitted to the School of Science and Technology in Partial Fulfillment of the Req...
Research in machine translation and corpus annotation has greatly benefited from the increasing avai...
Parallel corpus is a critical resource in machine learning based translation. The task of collecting...
Introduction of deep neural networks to the machine translation research ameliorated conventional ma...
We’ve developed an open-source, high quality isiZulu parallel corpus that comes from a mixture of do...
International audienceIn this paper, we describe the development of an English-Amharic parallel corp...
AbstractThe quality of machine translation is rapidly evolving. Today one can find several machine t...
This English-Luganda parallel sentence corpus was created by a team of researchers from AI & Data sc...
This English-Luganda parallel sentence corpus was created by a team of researchers from AI & Data sc...
We describe the University of Edinburgh’s submissions to the WMT20 news translation shared task for ...
This A Multilingual Dataset for Machine Translation from French to Ewe and fongbe, languages respect...
Neural machine translation is a new approach to machine translation that has shown the effective res...
Abstract: In this article we survey four different electronic bilingual dictionaries for the lan-gu...
Many automatic translation works have been addressed between major European language pairs, by takin...
This paper describes our approach to create a neural machine translation system to translate between...
A Project Report Submitted to the School of Science and Technology in Partial Fulfillment of the Req...
Research in machine translation and corpus annotation has greatly benefited from the increasing avai...
Parallel corpus is a critical resource in machine learning based translation. The task of collecting...
Introduction of deep neural networks to the machine translation research ameliorated conventional ma...
We’ve developed an open-source, high quality isiZulu parallel corpus that comes from a mixture of do...
International audienceIn this paper, we describe the development of an English-Amharic parallel corp...
AbstractThe quality of machine translation is rapidly evolving. Today one can find several machine t...
This English-Luganda parallel sentence corpus was created by a team of researchers from AI & Data sc...
This English-Luganda parallel sentence corpus was created by a team of researchers from AI & Data sc...
We describe the University of Edinburgh’s submissions to the WMT20 news translation shared task for ...
This A Multilingual Dataset for Machine Translation from French to Ewe and fongbe, languages respect...
Neural machine translation is a new approach to machine translation that has shown the effective res...
Abstract: In this article we survey four different electronic bilingual dictionaries for the lan-gu...
Many automatic translation works have been addressed between major European language pairs, by takin...