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Machine Translation Evaluation Dataset for Amharic The dataset contains source sentences in Amharic and English and their corresponding reference translations that were collected using crowd sourcing. These ground-truth sentences are from across different domains such as news headlines, social media, Wikipedia and everyday conversation. Metadata of files in the dataset amen.tsv - Domain: news | wiki | twitter | convo - Source Sentence: Amharic sentence - Reference Translation: English translation - Google Translate: output of Google Translate - Yandex Translate: output of Yandex Translate enam.tsv - Domain: news | wiki | twitter | convo - Source Sentence: English sentence - Reference Translation: Amharic translation - Google Translate: output of Google Translate - Yandex Translate: output of Yandex Translate Amharic source and reference translations across domains: News: These are news headlines from Ethiopian news websites. Wikipedia: A random sample of sentences from the Amharic Wikipedia. Twitter: Amharic Twitter posts on consumer products. Conversational: Everyday conversational expressions from Amharic native speakers. English source and reference translations across domains: News: These are news headlines from Wikipedia current events portal. Wikipedia: A random sample of sentences from the English Wikipedia. Twitter: English Twitter posts on global events from Wikipedia current events portal. Conversational: Everyday conversational expressions from English native speakers. Evaluation of two systems that provide Amharic translation The dataset also contains evaluation of two commercial systems: [Google Translate](https://translate.google.com/) and [Yandex Translate](https://translate.yandex.com/). Both systems provide free APIs that users can sign up and get access keys to. The translations for Amharic to English were generated on 14th February 2020. The translations for English to Amharic were generated on 30th March 2020.
Amharic, evaluation, natural language processing, machine translation
Twitter Data
Amharic, evaluation, natural language processing, machine translation
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 32 |

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