Autshumato Machine Translation Evaluation Set
Title | Autshumato Machine Translation Evaluation Set |
Description | Comparable evaluation data for use in automatic machine translation evaluations. The evaluation set consists of 500 sentences translated separately by four different professional human translators for each of the 11 official South African languages. This creates a set with four reference translations for each of the 11 languages where each of the texts can be used as an input text as well. This ensures that the evaluation set can be used to evaluate machine translation between any two of the 11 languages. |
Contact name | Sunny Gent |
Contact email | sunny.gent@nwu.ac.za |
Publisher(s) | North-West University; Centre for Text Technology (CTexT); Department of Arts and Culture, South Africa |
License | Creative Commons Attribution 4.0 International: https://creativecommons.org/licenses/by/4.0/ |
Language(s) | Afrikaans; English; isiNdebele; isiXhosa; isiZulu; Sesotho sa Leboa (Sepedi); Setswana; Sesotho; Siswati; Tshivenda; Xitsonga |
Author(s) | McKellar, Cindy Arlene |
Subject | Machine Translation; Evaluation Data; Reference Translations |
URI | https://hdl.handle.net/20.500.12185/506 |
Media type | Text |
Media category | Multilingual text corpus |
Format extent | 22 000 Sentences |
Version | 1.0 |
Format size | 0.912 Mb |
Format medium | N/A |
Project | Autshumato IV |
Primary collection | Resource Catalogue |
Secondary collection | Resource Index |
ISO639 code | afr; eng; nbl; xho; zul; sot; nso; tsn; ssw; ven; tso |
Submit date | 2019-02-15T06:48:59Z |
Date available | 2019-02-15T06:48:59Z |
Date created | 2017-12-15 |
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This item appears in the following Collection(s)
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Resource Catalogue [350]
A collection of language resources available for download from the RMA of SADiLaR. The collection mostly consists of resources developed with funding from the Department of Arts and Culture. -
Resource Index [412]
A collection of language resource metadata mostly collected during the NHN funded technology audit of 2009, as well as the SADiLaR technology audit of 2018. Not all resources in this collection are available for download.