GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena

Eva Vanmassenhove, Johanna Monti

Research output: Contribution to conferencePaperScientificpeer-review

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Abstract

Languages differ in terms of the absence or presence of gender features, the number of gender classes and whether and where gender features are explicitly marked. These cross-linguistic differences can lead to ambiguities that are difficult to resolve, especially for sentence-level MT systems. The identification of ambiguity and its subsequent resolution is a challenging task for which currently there aren't any specific resources or challenge sets available. In this paper, we introduce gENder-IT, an English--Italian challenge set focusing on the resolution of natural gender phenomena by providing word-level gender tags on the English source side and multiple gender alternative translations, where needed, on the Italian target side.
Original languageEnglish
Pages1-7
Number of pages7
DOIs
Publication statusPublished - 5 Aug 2021
Event3th Workshop on Gender Bias in Natural Language Processing : co-located with ACL-IJCNLP - Bangkok, Thailand
Duration: 5 Aug 20215 Aug 2021
https://genderbiasnlp.talp.cat/gebnlp2021/

Workshop

Workshop3th Workshop on Gender Bias in Natural Language Processing
Abbreviated titleGeBNLP
Country/TerritoryThailand
CityBangkok
Period5/08/215/08/21
Internet address

Keywords

  • cs.CL
  • cs.AI
  • cs.CY

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