{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:3ELL7YKJXMP7NXVMKBZKRDITVP","short_pith_number":"pith:3ELL7YKJ","schema_version":"1.0","canonical_sha256":"d916bfe149bb1ff6deac5072a88d13abcc94dc79b2854d9ba0584777f9f860de","source":{"kind":"arxiv","id":"1605.04569","version":2},"attestation_state":"computed","paper":{"title":"Syntactically Guided Neural Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aurelien Waite, Bill Byrne, Eva Hasler, Felix Stahlberg","submitted_at":"2016-05-15T15:53:02Z","abstract_excerpt":"We investigate the use of hierarchical phrase-based SMT lattices in end-to-end neural machine translation (NMT). Weight pushing transforms the Hiero scores for complete translation hypotheses, with the full translation grammar score and full n-gram language model score, into posteriors compatible with NMT predictive probabilities. With a slightly modified NMT beam-search decoder we find gains over both Hiero and NMT decoding alone, with practical advantages in extending NMT to very large input and output vocabularies."},"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":"1605.04569","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-15T15:53:02Z","cross_cats_sorted":[],"title_canon_sha256":"9364b1846bf966a12beb3e5ad10ba1fff39d6a1d4d347529c878470fda56acaf","abstract_canon_sha256":"62c70033e23d9181708f73e30fff33b3233fabf29e520b7c424888bc9405d968"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:57.151155Z","signature_b64":"k1ulbL/S6hYUXCJtPKPYDvOiLT+vSpt9B8sm/Hqrl7DHRr2lFp9FxvPrwaaSwisTLR0Y7vmN0anCAd5B+JYmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d916bfe149bb1ff6deac5072a88d13abcc94dc79b2854d9ba0584777f9f860de","last_reissued_at":"2026-05-18T00:50:57.150393Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:57.150393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Syntactically Guided Neural Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aurelien Waite, Bill Byrne, Eva Hasler, Felix Stahlberg","submitted_at":"2016-05-15T15:53:02Z","abstract_excerpt":"We investigate the use of hierarchical phrase-based SMT lattices in end-to-end neural machine translation (NMT). Weight pushing transforms the Hiero scores for complete translation hypotheses, with the full translation grammar score and full n-gram language model score, into posteriors compatible with NMT predictive probabilities. With a slightly modified NMT beam-search decoder we find gains over both Hiero and NMT decoding alone, with practical advantages in extending NMT to very large input and output vocabularies."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04569","kind":"arxiv","version":2},"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":"1605.04569","created_at":"2026-05-18T00:50:57.150522+00:00"},{"alias_kind":"arxiv_version","alias_value":"1605.04569v2","created_at":"2026-05-18T00:50:57.150522+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04569","created_at":"2026-05-18T00:50:57.150522+00:00"},{"alias_kind":"pith_short_12","alias_value":"3ELL7YKJXMP7","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_16","alias_value":"3ELL7YKJXMP7NXVM","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_8","alias_value":"3ELL7YKJ","created_at":"2026-05-18T12:29:55.572404+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/3ELL7YKJXMP7NXVMKBZKRDITVP","json":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP.json","graph_json":"https://pith.science/api/pith-number/3ELL7YKJXMP7NXVMKBZKRDITVP/graph.json","events_json":"https://pith.science/api/pith-number/3ELL7YKJXMP7NXVMKBZKRDITVP/events.json","paper":"https://pith.science/paper/3ELL7YKJ"},"agent_actions":{"view_html":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP","download_json":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP.json","view_paper":"https://pith.science/paper/3ELL7YKJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1605.04569&json=true","fetch_graph":"https://pith.science/api/pith-number/3ELL7YKJXMP7NXVMKBZKRDITVP/graph.json","fetch_events":"https://pith.science/api/pith-number/3ELL7YKJXMP7NXVMKBZKRDITVP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP/action/storage_attestation","attest_author":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP/action/author_attestation","sign_citation":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP/action/citation_signature","submit_replication":"https://pith.science/pith/3ELL7YKJXMP7NXVMKBZKRDITVP/action/replication_record"}},"created_at":"2026-05-18T00:50:57.150522+00:00","updated_at":"2026-05-18T00:50:57.150522+00:00"}