{"paper":{"title":"Introducing MELI: the Mandarin-English Language Interview Corpus","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"The MELI Corpus provides matched Mandarin and English speech from 51 bilingual speakers to enable acoustic comparisons linked to language attitudes.","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Molly Babel, Suyuan Liu","submitted_at":"2026-03-27T23:15:30Z","abstract_excerpt":"We introduce the Mandarin-English Language Interview (MELI) Corpus, an open-source resource of 29.8 hours of speech from 51 Mandarin-English bilingual speakers. MELI combines matched sessions in Mandarin and English with two speaking styles: read sentences and spontaneous interviews about language varieties, standardness, and learning experiences. Audio was recorded at 44.1 kHz (16-bit, stereo). Interviews were fully transcribed, force-aligned at word and phone levels, and anonymized. Descriptively, the Mandarin component totals ~14.7 hours (mean duration 17.3 minutes) and the English componen"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The MELI Corpus design supports within-/cross-speaker, within/cross-language acoustic comparison and links acoustics to speakers' stated language attitudes, enabling both quantitative and qualitative analyses.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The 51 speakers and their recorded sessions provide a representative sample of Mandarin-English bilingual speech and attitudes without major biases from recruitment, recording conditions, or self-reporting.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"MELI is a new 29.8-hour open-source speech corpus from 51 Mandarin-English bilinguals including full transcriptions, word/phone alignments, metadata, and attitude data for quantitative and qualitative bilingual research.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"The MELI Corpus provides matched Mandarin and English speech from 51 bilingual speakers to enable acoustic comparisons linked to language attitudes.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"8d44c39d9027eb72635634d60f7bfdde61f0082e2d907c5608c020f406d7694f"},"source":{"id":"2603.27043","kind":"arxiv","version":2},"verdict":{"id":"06b79db3-ddbc-44a6-9058-8d786962b289","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-19T17:12:39.577800Z","strongest_claim":"The MELI Corpus design supports within-/cross-speaker, within/cross-language acoustic comparison and links acoustics to speakers' stated language attitudes, enabling both quantitative and qualitative analyses.","one_line_summary":"MELI is a new 29.8-hour open-source speech corpus from 51 Mandarin-English bilinguals including full transcriptions, word/phone alignments, metadata, and attitude data for quantitative and qualitative bilingual research.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The 51 speakers and their recorded sessions provide a representative sample of Mandarin-English bilingual speech and attitudes without major biases from recruitment, recording conditions, or self-reporting.","pith_extraction_headline":"The MELI Corpus provides matched Mandarin and English speech from 51 bilingual speakers to enable acoustic comparisons linked to language attitudes."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2603.27043/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}