{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:4FR3BRGL465CQACU4YR5OKSKNM","short_pith_number":"pith:4FR3BRGL","schema_version":"1.0","canonical_sha256":"e163b0c4cbe7ba280054e623d72a4a6b0d517339317b603928600aa2be850e42","source":{"kind":"arxiv","id":"2004.00648","version":1},"attestation_state":"computed","paper":{"title":"Igbo-English Machine Translation: An Evaluation Benchmark","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Chinedu Uchechukwu, Ignatius Ezeani, Ikechukwu Onyenwe, Mark Hepple, Paul Rayson","submitted_at":"2020-04-01T18:06:21Z","abstract_excerpt":"Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging. A lot of focus on well resourced languages such as English, Japanese, German, French, Russian, Mandarin Chinese etc. Over 97% of the world's 7000 languages, including African languages, are low resourced for NLP i.e. they have little or no data, tools, and techniques for NLP research. For instance, only 5 out of 2965, 0.19% authors of full text papers in the ACL Anthology extracted from the 5 major conferences in 2018 ACL, NAACL, EMNLP"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2004.00648","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-01T18:06:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0665098c9d5e380b9341ba80d8d599195832575a77739b1ce0b16350fa9dd6a3","abstract_canon_sha256":"241470f51ba8a5ffd1285a2f9002e289bd0a54c6daa249cdf821137a669a5965"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:52:19.290302Z","signature_b64":"EOJf+0Dxu+6cA1Xnmx+GNBL9XhlCLf/9UIfOJJjPn7tN0XpQTLvy3gR+VJJk2HyYXKJz5cDccAV9CU2/4tOHBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e163b0c4cbe7ba280054e623d72a4a6b0d517339317b603928600aa2be850e42","last_reissued_at":"2026-07-05T00:52:19.289962Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:52:19.289962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Igbo-English Machine Translation: An Evaluation Benchmark","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Chinedu Uchechukwu, Ignatius Ezeani, Ikechukwu Onyenwe, Mark Hepple, Paul Rayson","submitted_at":"2020-04-01T18:06:21Z","abstract_excerpt":"Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging. A lot of focus on well resourced languages such as English, Japanese, German, French, Russian, Mandarin Chinese etc. Over 97% of the world's 7000 languages, including African languages, are low resourced for NLP i.e. they have little or no data, tools, and techniques for NLP research. For instance, only 5 out of 2965, 0.19% authors of full text papers in the ACL Anthology extracted from the 5 major conferences in 2018 ACL, NAACL, EMNLP"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.00648","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2004.00648/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2004.00648","created_at":"2026-07-05T00:52:19.290020+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.00648v1","created_at":"2026-07-05T00:52:19.290020+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.00648","created_at":"2026-07-05T00:52:19.290020+00:00"},{"alias_kind":"pith_short_12","alias_value":"4FR3BRGL465C","created_at":"2026-07-05T00:52:19.290020+00:00"},{"alias_kind":"pith_short_16","alias_value":"4FR3BRGL465CQACU","created_at":"2026-07-05T00:52:19.290020+00:00"},{"alias_kind":"pith_short_8","alias_value":"4FR3BRGL","created_at":"2026-07-05T00:52:19.290020+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM","json":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM.json","graph_json":"https://pith.science/api/pith-number/4FR3BRGL465CQACU4YR5OKSKNM/graph.json","events_json":"https://pith.science/api/pith-number/4FR3BRGL465CQACU4YR5OKSKNM/events.json","paper":"https://pith.science/paper/4FR3BRGL"},"agent_actions":{"view_html":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM","download_json":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM.json","view_paper":"https://pith.science/paper/4FR3BRGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.00648&json=true","fetch_graph":"https://pith.science/api/pith-number/4FR3BRGL465CQACU4YR5OKSKNM/graph.json","fetch_events":"https://pith.science/api/pith-number/4FR3BRGL465CQACU4YR5OKSKNM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM/action/storage_attestation","attest_author":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM/action/author_attestation","sign_citation":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM/action/citation_signature","submit_replication":"https://pith.science/pith/4FR3BRGL465CQACU4YR5OKSKNM/action/replication_record"}},"created_at":"2026-07-05T00:52:19.290020+00:00","updated_at":"2026-07-05T00:52:19.290020+00:00"}