{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JATDBS7PHVN4WAHMN4R3NE7DZF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8e81a34f969cd4d2d684b905b0d408770bc8a79f6282ee0506d9f1018a41fb34","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T10:30:52Z","title_canon_sha256":"33c4c94223e1d2161b085f6d52044bce9c37f99013c10dee100b329e70424733"},"schema_version":"1.0","source":{"id":"1904.02461","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02461","created_at":"2026-05-17T23:49:23Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02461v1","created_at":"2026-05-17T23:49:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02461","created_at":"2026-05-17T23:49:23Z"},{"alias_kind":"pith_short_12","alias_value":"JATDBS7PHVN4","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"JATDBS7PHVN4WAHM","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"JATDBS7P","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:b882d11345dd292eebec14871bcfb3afd186b84cc25b3c77acd3404ef226ba64","target":"graph","created_at":"2026-05-17T23:49:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Regularization of neural machine translation is still a significant problem, especially in low-resource settings. To mollify this problem, we propose regressing word embeddings (ReWE) as a new regularization technique in a system that is jointly trained to predict the next word in the translation (categorical value) and its word embedding (continuous value). Such a joint training allows the proposed system to learn the distributional properties represented by the word embeddings, empirically improving the generalization to unseen sentences. Experiments over three translation datasets have show","authors_text":"Ehsan Zare Borzeshi, Inigo Jauregi Unanue, Massimo Piccardi, Nazanin Esmaili","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T10:30:52Z","title":"ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02461","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c93f1d35754d32b603f6537245b0349cef1ab06f3f4c9e5fa085fa8ab6432946","target":"record","created_at":"2026-05-17T23:49:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8e81a34f969cd4d2d684b905b0d408770bc8a79f6282ee0506d9f1018a41fb34","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-04T10:30:52Z","title_canon_sha256":"33c4c94223e1d2161b085f6d52044bce9c37f99013c10dee100b329e70424733"},"schema_version":"1.0","source":{"id":"1904.02461","kind":"arxiv","version":1}},"canonical_sha256":"482630cbef3d5bcb00ec6f23b693e3c95e32f0e4b2d685867e0874eefad1fd3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"482630cbef3d5bcb00ec6f23b693e3c95e32f0e4b2d685867e0874eefad1fd3d","first_computed_at":"2026-05-17T23:49:23.593844Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:23.593844Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b4NeXXe9gvgrCJ8e9XW17rLBFFqm9px17AZnP4zxL2jBtItmhvN/SzPD1crXTNRWh5Of+9ey/dPIB9lqUFDsCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:23.594404Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.02461","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c93f1d35754d32b603f6537245b0349cef1ab06f3f4c9e5fa085fa8ab6432946","sha256:b882d11345dd292eebec14871bcfb3afd186b84cc25b3c77acd3404ef226ba64"],"state_sha256":"b32201abd784d0310a9e01148963889b9f0661f59c96f70ee88bca4bbcc6a91f"}