| dc.contributor.author | Aires, João Paulo |
| dc.date.accessioned | 2022-04-20T11:35:13Z |
| dc.date.available | 2022-04-20T11:35:13Z |
| dc.date.issued | 2022-04-11 |
| dc.identifier.uri | http://hdl.handle.net/11234/1-4703 |
| dc.description | Document-level testsuite for evaluation of gender translation consistency. Our Document-Level test set consists of selected English documents from the WMT21 newstest annotated with gender information. Czech unnanotated references are also added for convenience. We semi-automatically annotated person names and pronouns to identify the gender of these elements as well as coreferences. Our proposed annotation consists of three elements: (1) an ID, (2) an element class, and (3) gender. The ID identifies a person's name and its occurrences (name and pronouns). The element class identifies whether the tag refers to a name or a pronoun. Finally, the gender information defines whether the element is masculine or feminine. We performed a series of NLP techniques to automatically identify person names and coreferences. This initial process resulted in a set containing 45 documents to be manually annotated. Thus, we started a manual annotation of these documents to make sure they are correctly tagged. See README.md for more details. |
| dc.language.iso | eng |
| dc.language.iso | ces |
| dc.publisher | Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/825303 |
| dc.rights | Creative Commons - Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ |
| dc.subject | machine translation |
| dc.subject | testsuite |
| dc.subject | evaluation |
| dc.subject | gender |
| dc.title | Machine Translation Testsuite for Gender-Consistent Translation |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| dc.rights.label | PUB |
| has.files | yes |
| branding | LINDAT / CLARIAH-CZ |
| contact.person | João Paulo Aires aires@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| sponsor | European Union EC/H2020/825303 Bergamot - Browser-based Multilingual Translation euFunds info:eu-repo/grantAgreement/EC/H2020/825303 |
| size.info | 172 articles |
| size.info | 2914 sentences |
| size.info | 73018 words |
| files.size | 704177 |
| files.count | 3 |
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- english
- Name
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- Size
- 1.77 KB
- Format
- Unknown
- Description
- Dataset Description
- MD5
- e8add2600a46c1dfc25acb8fe08fc91b