{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hi-guys-or-hi-folks-benchmarking-gender","title":"Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus","arxiv_id":"2310.05294","date":"2023-10-08","proceeding":null,"authors":["Andrea Piergentili","Beatrice Savoldi","Dennis Fucci","Matteo Negri","Luisa Bentivogli"],"abstract":"Gender inequality is embedded in our communication practices and perpetuated in translation technologies. This becomes particularly apparent when translating into grammatical gender languages, where machine translation (MT) often defaults to masculine and stereotypical representations by making undue binary gender assumptions. Our work addresses the rising demand for inclusive language by focusing head-on on gender-neutral translation from English to Italian. We start from the essentials: proposing a dedicated benchmark and exploring automated evaluation methods. First, we introduce GeNTE, a natural, bilingual test set for gender-neutral translation, whose creation was informed by a survey on the perception and use of neutral language. Based on GeNTE, we then overview existing reference-based evaluation approaches, highlight their limits, and propose a reference-free method more suitable to assess gender-neutral translation.","url_abs":"https://arxiv.org/abs/2310.05294v1","url_pdf":"https://arxiv.org/pdf/2310.05294v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"hi-guys-or-hi-folks-benchmarking-gender","repo_url":"https://github.com/hlt-mt/fbk-neutr-eval","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2310.05294","atlas_url":"https://app.syntology.ai/?focus=2310.05294","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.05294"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/hlt-mt/fbk-NEUTR-evAL","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran":9},"by_repo_kind":{"official":{"samples":9,"ran":9,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"80132b7e673543b4","entry":"add_args","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/cli/llm_as_a_judge/generic.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/cli/llm_as_a_judge/generic.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"80132b7e673543b4"}},{"code_sha256_prefix":"e345cd5a78d9e4d7","entry":"evaluate_word","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/cli/neogate_evaluation.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/cli/neogate_evaluation.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e345cd5a78d9e4d7"}},{"code_sha256_prefix":"0a86d4b3dbe47b96","entry":"get_annotations","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/cli/neogate_evaluation.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/cli/neogate_evaluation.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"0a86d4b3dbe47b96"}},{"code_sha256_prefix":"190813b8b0b50ec4","entry":"load_data","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/data_preprocessing.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/data_preprocessing.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"190813b8b0b50ec4"}},{"code_sha256_prefix":"892866bfc3e91243","entry":"load_input","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/cli/llm_as_a_judge/generic.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/cli/llm_as_a_judge/generic.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"892866bfc3e91243"}},{"code_sha256_prefix":"f6cd896bf69d3250","entry":"load_prompt_message","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/cli/llm_as_a_judge/generic.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/cli/llm_as_a_judge/generic.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f6cd896bf69d3250"}},{"code_sha256_prefix":"133929a3d25c4e6b","entry":"register_metric","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/metrics.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/metrics.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"133929a3d25c4e6b"}},{"code_sha256_prefix":"3859afc337659810","entry":"register_writer","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/writers.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/writers.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"3859afc337659810"}},{"code_sha256_prefix":"ab107c6f8d1818aa","entry":"to_words","repo":"hlt-mt/fbk-NEUTR-evAL","repo_kind":"official","path":"src/fbk_neutreval/cli/neogate_evaluation.py","file_url":"https://github.com/hlt-mt/fbk-NEUTR-evAL/blob/HEAD/src/fbk_neutreval/cli/neogate_evaluation.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ab107c6f8d1818aa"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}