{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:OODBDPQHSUFL6JLQYC6GDFJSF3","short_pith_number":"pith:OODBDPQH","schema_version":"1.0","canonical_sha256":"738611be07950abf2570c0bc6195322ed60505fd112ad8a5275507e81e79c203","source":{"kind":"arxiv","id":"1609.03376","version":1},"attestation_state":"computed","paper":{"title":"Morphological Constraints for Phrase Pivot Statistical Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ahmed El Kholy, Nizar Habash","submitted_at":"2016-09-12T12:52:37Z","abstract_excerpt":"The lack of parallel data for many language pairs is an important challenge to statistical machine translation (SMT). One common solution is to pivot through a third language for which there exist parallel corpora with the source and target languages. Although pivoting is a robust technique, it introduces some low quality translations especially when a poor morphology language is used as the pivot between rich morphology languages. In this paper, we examine the use of synchronous morphology constraint features to improve the quality of phrase pivot SMT. We compare hand-crafted constraints to t"},"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":"1609.03376","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-09-12T12:52:37Z","cross_cats_sorted":[],"title_canon_sha256":"baf0e08505f3061f8f483d61de2164565c4e0342d35c0d356e35f487b1d74a0d","abstract_canon_sha256":"b7a3e9c250572389b55c75260d596ec5a6f9be7b096e0e06bc05c36982c73425"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:04:47.077614Z","signature_b64":"64j0mQdngTehzHUD8NxMgfKcWPl/QlSiU260bDCTkRXVdtNym4ZAMl8n9WY8aVFRBHaG17VeWyLr/mJJIAviCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"738611be07950abf2570c0bc6195322ed60505fd112ad8a5275507e81e79c203","last_reissued_at":"2026-05-18T01:04:47.076959Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:04:47.076959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Morphological Constraints for Phrase Pivot Statistical Machine Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ahmed El Kholy, Nizar Habash","submitted_at":"2016-09-12T12:52:37Z","abstract_excerpt":"The lack of parallel data for many language pairs is an important challenge to statistical machine translation (SMT). One common solution is to pivot through a third language for which there exist parallel corpora with the source and target languages. Although pivoting is a robust technique, it introduces some low quality translations especially when a poor morphology language is used as the pivot between rich morphology languages. In this paper, we examine the use of synchronous morphology constraint features to improve the quality of phrase pivot SMT. We compare hand-crafted constraints to t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.03376","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":"1609.03376","created_at":"2026-05-18T01:04:47.077050+00:00"},{"alias_kind":"arxiv_version","alias_value":"1609.03376v1","created_at":"2026-05-18T01:04:47.077050+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.03376","created_at":"2026-05-18T01:04:47.077050+00:00"},{"alias_kind":"pith_short_12","alias_value":"OODBDPQHSUFL","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"OODBDPQHSUFL6JLQ","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"OODBDPQH","created_at":"2026-05-18T12:30:36.002864+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/OODBDPQHSUFL6JLQYC6GDFJSF3","json":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3.json","graph_json":"https://pith.science/api/pith-number/OODBDPQHSUFL6JLQYC6GDFJSF3/graph.json","events_json":"https://pith.science/api/pith-number/OODBDPQHSUFL6JLQYC6GDFJSF3/events.json","paper":"https://pith.science/paper/OODBDPQH"},"agent_actions":{"view_html":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3","download_json":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3.json","view_paper":"https://pith.science/paper/OODBDPQH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1609.03376&json=true","fetch_graph":"https://pith.science/api/pith-number/OODBDPQHSUFL6JLQYC6GDFJSF3/graph.json","fetch_events":"https://pith.science/api/pith-number/OODBDPQHSUFL6JLQYC6GDFJSF3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3/action/storage_attestation","attest_author":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3/action/author_attestation","sign_citation":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3/action/citation_signature","submit_replication":"https://pith.science/pith/OODBDPQHSUFL6JLQYC6GDFJSF3/action/replication_record"}},"created_at":"2026-05-18T01:04:47.077050+00:00","updated_at":"2026-05-18T01:04:47.077050+00:00"}