{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:P2TQ2BP4V4XGNU4PWC4IL7HS2O","short_pith_number":"pith:P2TQ2BP4","schema_version":"1.0","canonical_sha256":"7ea70d05fcaf2e66d38fb0b885fcf2d3a40ab7b43cf570b58ef7168154d84197","source":{"kind":"arxiv","id":"1809.00344","version":1},"attestation_state":"computed","paper":{"title":"Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andr\\'e F. T. Martins, Gholamreza Haffari, Sameen Maruf","submitted_at":"2018-09-02T14:26:44Z","abstract_excerpt":"Recent works in neural machine translation have begun to explore document translation. However, translating online multi-speaker conversations is still an open problem. In this work, we propose the task of translating Bilingual Multi-Speaker Conversations, and explore neural architectures which exploit both source and target-side conversation histories for this task. To initiate an evaluation for this task, we introduce datasets extracted from Europarl v7 and OpenSubtitles2016. Our experiments on four language-pairs confirm the significance of leveraging conversation history, both in terms of "},"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":"1809.00344","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-02T14:26:44Z","cross_cats_sorted":[],"title_canon_sha256":"c5745a0cd45e572933a2cf693e179a7dc37197ba02c918c0ab68380b6724d33a","abstract_canon_sha256":"eb4228053f2bf728e5cb18afb86cce9263810219966c24f17dead310321cc7a8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:35.465597Z","signature_b64":"Cxj/nj87IJ6D658KW4/9vhra2AWfnaCNxQM6ytP8iIAOsujAjy9OPdZWzNmNyqf/rVwmsGdZBe75rnca48ikDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ea70d05fcaf2e66d38fb0b885fcf2d3a40ab7b43cf570b58ef7168154d84197","last_reissued_at":"2026-05-18T00:06:35.465074Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:35.465074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andr\\'e F. T. Martins, Gholamreza Haffari, Sameen Maruf","submitted_at":"2018-09-02T14:26:44Z","abstract_excerpt":"Recent works in neural machine translation have begun to explore document translation. However, translating online multi-speaker conversations is still an open problem. In this work, we propose the task of translating Bilingual Multi-Speaker Conversations, and explore neural architectures which exploit both source and target-side conversation histories for this task. To initiate an evaluation for this task, we introduce datasets extracted from Europarl v7 and OpenSubtitles2016. Our experiments on four language-pairs confirm the significance of leveraging conversation history, both in terms of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.00344","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":""},"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":"1809.00344","created_at":"2026-05-18T00:06:35.465158+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.00344v1","created_at":"2026-05-18T00:06:35.465158+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.00344","created_at":"2026-05-18T00:06:35.465158+00:00"},{"alias_kind":"pith_short_12","alias_value":"P2TQ2BP4V4XG","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"P2TQ2BP4V4XGNU4P","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"P2TQ2BP4","created_at":"2026-05-18T12:32:43.782077+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/P2TQ2BP4V4XGNU4PWC4IL7HS2O","json":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O.json","graph_json":"https://pith.science/api/pith-number/P2TQ2BP4V4XGNU4PWC4IL7HS2O/graph.json","events_json":"https://pith.science/api/pith-number/P2TQ2BP4V4XGNU4PWC4IL7HS2O/events.json","paper":"https://pith.science/paper/P2TQ2BP4"},"agent_actions":{"view_html":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O","download_json":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O.json","view_paper":"https://pith.science/paper/P2TQ2BP4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.00344&json=true","fetch_graph":"https://pith.science/api/pith-number/P2TQ2BP4V4XGNU4PWC4IL7HS2O/graph.json","fetch_events":"https://pith.science/api/pith-number/P2TQ2BP4V4XGNU4PWC4IL7HS2O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O/action/storage_attestation","attest_author":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O/action/author_attestation","sign_citation":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O/action/citation_signature","submit_replication":"https://pith.science/pith/P2TQ2BP4V4XGNU4PWC4IL7HS2O/action/replication_record"}},"created_at":"2026-05-18T00:06:35.465158+00:00","updated_at":"2026-05-18T00:06:35.465158+00:00"}