HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa
The HornMT repository contains data and the associated metadata for the project Machine Translation Benchmark Dataset for Languages in the Horn of Africa. It is a multi-way parallel corpus that will serve as a benchmark to accelerate progress in machine translation research and production systems fo...
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Zenodo
2022
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Online Access: | https://dx.doi.org/10.5281/zenodo.6369441 https://zenodo.org/record/6369441 |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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English |
topic |
Machine Translation Parallel Corpus Horn of Africa Ethiopia Natural Language Processing Afar Amharic Oromo Somali Tigrinya |
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Machine Translation Parallel Corpus Horn of Africa Ethiopia Natural Language Processing Afar Amharic Oromo Somali Tigrinya Hadgu, Asmelash Teka Gebremeskel, Gebrekirstos G. Aregawi, Abel HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa |
topic_facet |
Machine Translation Parallel Corpus Horn of Africa Ethiopia Natural Language Processing Afar Amharic Oromo Somali Tigrinya |
description |
The HornMT repository contains data and the associated metadata for the project Machine Translation Benchmark Dataset for Languages in the Horn of Africa. It is a multi-way parallel corpus that will serve as a benchmark to accelerate progress in machine translation research and production systems for languages in the Horn of Africa. Supported Languages Language ISO 639-3 code Afar aaf Amharic amh English eng Oromo orm Somali som Tigrinya tir data/ contains one text file per language and each file contains news snippets in the same order for each language. data ├── aar.txt ├── amh.txt ├── eng.txt ├── orm.txt ├── som.txt └── tir.txt metadata.tsv contains tab separated data describing each news snippet. The metadata contains the following fields. Scope - describes whether the news is global or local. It takes two values: Global news and Local news. Category - News category covering the following 12 topics Art and Culture Business and Economy Conflicts and Attacks Disaster and Accidents Entertainment Environment Health International Relations Law and Crime Politics Science and Technology Sport Source - List of one or more URLs from which the news content is extracted or based on. Domain - TLD corresponding to the URL(s) in Source. Date - The publication date of the source article. The format is yyyy-mm-dd. Other formats All the data and associated metadata together in one file is also available in other file formats. HornMT.xlsx - data and associated metadata in xlsx format. HornMT.json - data and associated metadata in json format. Below is an example row. <code class="language-javascript">{ "data":{ "eng":"The World Meteorological Organisation reports that the ozone layer is damaged to its worst extent ever in the Arctic.", "aaf":"Baad Metrolojih Eglali Areketekeh Addal Ozonih qelu faxe waktik lafetle calat biyakisem xayose.", "amh":"የአለም የአየር ንብረት ድርጅት በአርክቲክ አካባቢ ያለው የኦዞን ምንጣፍ ከፍተኛ ጉዳት እንደደረሰበት አስታወቀ፡፡", "orm":"Dhaabbanni Meetiroolojii Addunyaa baqqaanni oozonii Arkiitik keessatti gara sadarkaa isa hamaa haga ammaatti akka miidhame gabaase.", "som":"Ururka Saadaasha Hawada Adduunka ayaa ku warramaya in lakabka ozoneka ee Ka koreeya dhulka baraflayda uu waxyeelladii abid ugu darnaa soo gaadhay.", "tir":"ውድብ ሜትሮሎጂ ዓለም ኣብ ኣርክቲክ ዝርከብ ናሕሲ ኦዞን ኣዝዩ ብዝኸፍአ ደረጃ ከምዝተጎድአ ሓቢሩ፡፡" }, "metadata":{ "scope":"Global", "category":"Science and Technology", "source":"https://www.independent.co.uk/environment/climate-change/ozone-layer-damaged-by-unusually-harsh-winter-2263653.html", "domain":"www.independent.co.uk", "date":"2011-04-05" } } Team Afar Mohammed Deresa Yasin Nur Amharic Tigist Taye Selamawit Hailemariam Wako Tilahun Oromo Gemechis Melkamu Galata Girmaye Somali Abdiselam Mohamed Beshir Abdi Tigrinya Berhanu Abadi Weldegiorgis Michael Minassie Nureddin Mohammedshiek Project Leaders Asmelash Teka Hadgu asme@lesan.ai Gebrekirstos G. Gebremeskel gebrekirstos.gebremeskel@ru.nl Abel Aregawi abel@lesan.ai License Shield: CC BY 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. : This work was carried out with support from Lacuna Fund, an initiative co‐founded by The Rockefeller Foundation, Google.org, and Canada's International Development Research Centre. |
format |
Dataset |
author |
Hadgu, Asmelash Teka Gebremeskel, Gebrekirstos G. Aregawi, Abel |
author_facet |
Hadgu, Asmelash Teka Gebremeskel, Gebrekirstos G. Aregawi, Abel |
author_sort |
Hadgu, Asmelash Teka |
title |
HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa |
title_short |
HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa |
title_full |
HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa |
title_fullStr |
HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa |
title_full_unstemmed |
HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa |
title_sort |
hornmt – machine translation benchmark dataset for languages in the horn of africa |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.6369441 https://zenodo.org/record/6369441 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_relation |
https://dx.doi.org/10.5281/zenodo.6369442 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.6369441 https://doi.org/10.5281/zenodo.6369442 |
_version_ |
1766349923365683200 |
spelling |
ftdatacite:10.5281/zenodo.6369441 2023-05-15T15:19:43+02:00 HornMT – Machine Translation Benchmark Dataset for Languages in the Horn of Africa Hadgu, Asmelash Teka Gebremeskel, Gebrekirstos G. Aregawi, Abel 2022 https://dx.doi.org/10.5281/zenodo.6369441 https://zenodo.org/record/6369441 en eng Zenodo https://dx.doi.org/10.5281/zenodo.6369442 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Machine Translation Parallel Corpus Horn of Africa Ethiopia Natural Language Processing Afar Amharic Oromo Somali Tigrinya Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.6369441 https://doi.org/10.5281/zenodo.6369442 2022-04-01T17:40:28Z The HornMT repository contains data and the associated metadata for the project Machine Translation Benchmark Dataset for Languages in the Horn of Africa. It is a multi-way parallel corpus that will serve as a benchmark to accelerate progress in machine translation research and production systems for languages in the Horn of Africa. Supported Languages Language ISO 639-3 code Afar aaf Amharic amh English eng Oromo orm Somali som Tigrinya tir data/ contains one text file per language and each file contains news snippets in the same order for each language. data ├── aar.txt ├── amh.txt ├── eng.txt ├── orm.txt ├── som.txt └── tir.txt metadata.tsv contains tab separated data describing each news snippet. The metadata contains the following fields. Scope - describes whether the news is global or local. It takes two values: Global news and Local news. Category - News category covering the following 12 topics Art and Culture Business and Economy Conflicts and Attacks Disaster and Accidents Entertainment Environment Health International Relations Law and Crime Politics Science and Technology Sport Source - List of one or more URLs from which the news content is extracted or based on. Domain - TLD corresponding to the URL(s) in Source. Date - The publication date of the source article. The format is yyyy-mm-dd. Other formats All the data and associated metadata together in one file is also available in other file formats. HornMT.xlsx - data and associated metadata in xlsx format. HornMT.json - data and associated metadata in json format. Below is an example row. <code class="language-javascript">{ "data":{ "eng":"The World Meteorological Organisation reports that the ozone layer is damaged to its worst extent ever in the Arctic.", "aaf":"Baad Metrolojih Eglali Areketekeh Addal Ozonih qelu faxe waktik lafetle calat biyakisem xayose.", "amh":"የአለም የአየር ንብረት ድርጅት በአርክቲክ አካባቢ ያለው የኦዞን ምንጣፍ ከፍተኛ ጉዳት እንደደረሰበት አስታወቀ፡፡", "orm":"Dhaabbanni Meetiroolojii Addunyaa baqqaanni oozonii Arkiitik keessatti gara sadarkaa isa hamaa haga ammaatti akka miidhame gabaase.", "som":"Ururka Saadaasha Hawada Adduunka ayaa ku warramaya in lakabka ozoneka ee Ka koreeya dhulka baraflayda uu waxyeelladii abid ugu darnaa soo gaadhay.", "tir":"ውድብ ሜትሮሎጂ ዓለም ኣብ ኣርክቲክ ዝርከብ ናሕሲ ኦዞን ኣዝዩ ብዝኸፍአ ደረጃ ከምዝተጎድአ ሓቢሩ፡፡" }, "metadata":{ "scope":"Global", "category":"Science and Technology", "source":"https://www.independent.co.uk/environment/climate-change/ozone-layer-damaged-by-unusually-harsh-winter-2263653.html", "domain":"www.independent.co.uk", "date":"2011-04-05" } } Team Afar Mohammed Deresa Yasin Nur Amharic Tigist Taye Selamawit Hailemariam Wako Tilahun Oromo Gemechis Melkamu Galata Girmaye Somali Abdiselam Mohamed Beshir Abdi Tigrinya Berhanu Abadi Weldegiorgis Michael Minassie Nureddin Mohammedshiek Project Leaders Asmelash Teka Hadgu asme@lesan.ai Gebrekirstos G. Gebremeskel gebrekirstos.gebremeskel@ru.nl Abel Aregawi abel@lesan.ai License Shield: CC BY 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. : This work was carried out with support from Lacuna Fund, an initiative co‐founded by The Rockefeller Foundation, Google.org, and Canada's International Development Research Centre. Dataset Arctic Climate change DataCite Metadata Store (German National Library of Science and Technology) Arctic |