{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:DAIHZR3RVJAGH6KDWMIXWI7DVE","short_pith_number":"pith:DAIHZR3R","canonical_record":{"source":{"id":"1701.08339","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-01-29T00:22:24Z","cross_cats_sorted":[],"title_canon_sha256":"facf17f267d18604afe6a668586902efab759cef4b340230d1a0cfb06c0111eb","abstract_canon_sha256":"f0a57a76f4d7090294c77860c940db3cf31df64aa397f6ed95690235a6c57964"},"schema_version":"1.0"},"canonical_sha256":"18107cc771aa4063f943b3117b23e3a907c1e401e3f45adad80ec25f22e5c4c0","source":{"kind":"arxiv","id":"1701.08339","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.08339","created_at":"2026-05-18T00:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"1701.08339v1","created_at":"2026-05-18T00:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.08339","created_at":"2026-05-18T00:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"DAIHZR3RVJAG","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"DAIHZR3RVJAGH6KD","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"DAIHZR3R","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:DAIHZR3RVJAGH6KDWMIXWI7DVE","target":"record","payload":{"canonical_record":{"source":{"id":"1701.08339","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-01-29T00:22:24Z","cross_cats_sorted":[],"title_canon_sha256":"facf17f267d18604afe6a668586902efab759cef4b340230d1a0cfb06c0111eb","abstract_canon_sha256":"f0a57a76f4d7090294c77860c940db3cf31df64aa397f6ed95690235a6c57964"},"schema_version":"1.0"},"canonical_sha256":"18107cc771aa4063f943b3117b23e3a907c1e401e3f45adad80ec25f22e5c4c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:54.487870Z","signature_b64":"0AM8B63+IRXe9YIfTqtrr7wKYY89lJALUNBmKsnjo+JbgBY6sQ+mOJlapr+frf1Y60LnVGIl7daO8bMscvM8Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18107cc771aa4063f943b3117b23e3a907c1e401e3f45adad80ec25f22e5c4c0","last_reissued_at":"2026-05-18T00:51:54.487097Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:54.487097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.08339","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CFWSvQImSR5WXQDEkbV4k4ra2zixkJT1Pl9Y0KoECIi1Slk6L0if+Zh3Ap7QR1K0updsDnw4AddYV7bZL5dsCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:24:29.795466Z"},"content_sha256":"4748b7955cf1cea98b897e32d412e57533c63ebb94d2c3757eeb001bc132a02b","schema_version":"1.0","event_id":"sha256:4748b7955cf1cea98b897e32d412e57533c63ebb94d2c3757eeb001bc132a02b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:DAIHZR3RVJAGH6KDWMIXWI7DVE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ebrahim Ansari, Fatemeh Alimardani, M.H. Sadreddini, Mostafa Sheikhalishahi, Richard Wallace","submitted_at":"2017-01-29T00:22:24Z","abstract_excerpt":"The effectiveness of a statistical machine translation system (SMT) is very dependent upon the amount of parallel corpus used in the training phase. For low-resource language pairs there are not enough parallel corpora to build an accurate SMT. In this paper, a novel approach is presented to extract bilingual Persian-Italian parallel sentences from a non-parallel (comparable) corpus. In this study, English is used as the pivot language to compute the matching scores between source and target sentences and candidate selection phase. Additionally, a new monolingual sentence similarity metric, No"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.08339","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eHteJ9T/om2D/qSfyVuxio29h5dmEXJta/ud2nvn9LYkRL+TPv/aqecIo3leuiIlV8omNZCxd5sCF2Au53dqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:24:29.796027Z"},"content_sha256":"d9a6f6e1938e2d1175abed0e2a092b193cd4618afc288a76a6b8a0ffae9edd07","schema_version":"1.0","event_id":"sha256:d9a6f6e1938e2d1175abed0e2a092b193cd4618afc288a76a6b8a0ffae9edd07"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE/bundle.json","state_url":"https://pith.science/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-04T22:24:29Z","links":{"resolver":"https://pith.science/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE","bundle":"https://pith.science/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE/bundle.json","state":"https://pith.science/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DAIHZR3RVJAGH6KDWMIXWI7DVE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:DAIHZR3RVJAGH6KDWMIXWI7DVE","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":"f0a57a76f4d7090294c77860c940db3cf31df64aa397f6ed95690235a6c57964","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-01-29T00:22:24Z","title_canon_sha256":"facf17f267d18604afe6a668586902efab759cef4b340230d1a0cfb06c0111eb"},"schema_version":"1.0","source":{"id":"1701.08339","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.08339","created_at":"2026-05-18T00:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"1701.08339v1","created_at":"2026-05-18T00:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.08339","created_at":"2026-05-18T00:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"DAIHZR3RVJAG","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"DAIHZR3RVJAGH6KD","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"DAIHZR3R","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:d9a6f6e1938e2d1175abed0e2a092b193cd4618afc288a76a6b8a0ffae9edd07","target":"graph","created_at":"2026-05-18T00:51:54Z","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":"The effectiveness of a statistical machine translation system (SMT) is very dependent upon the amount of parallel corpus used in the training phase. For low-resource language pairs there are not enough parallel corpora to build an accurate SMT. In this paper, a novel approach is presented to extract bilingual Persian-Italian parallel sentences from a non-parallel (comparable) corpus. In this study, English is used as the pivot language to compute the matching scores between source and target sentences and candidate selection phase. Additionally, a new monolingual sentence similarity metric, No","authors_text":"Ebrahim Ansari, Fatemeh Alimardani, M.H. Sadreddini, Mostafa Sheikhalishahi, Richard Wallace","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-01-29T00:22:24Z","title":"Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.08339","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":"sha256:4748b7955cf1cea98b897e32d412e57533c63ebb94d2c3757eeb001bc132a02b","target":"record","created_at":"2026-05-18T00:51:54Z","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":"f0a57a76f4d7090294c77860c940db3cf31df64aa397f6ed95690235a6c57964","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-01-29T00:22:24Z","title_canon_sha256":"facf17f267d18604afe6a668586902efab759cef4b340230d1a0cfb06c0111eb"},"schema_version":"1.0","source":{"id":"1701.08339","kind":"arxiv","version":1}},"canonical_sha256":"18107cc771aa4063f943b3117b23e3a907c1e401e3f45adad80ec25f22e5c4c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18107cc771aa4063f943b3117b23e3a907c1e401e3f45adad80ec25f22e5c4c0","first_computed_at":"2026-05-18T00:51:54.487097Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:54.487097Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0AM8B63+IRXe9YIfTqtrr7wKYY89lJALUNBmKsnjo+JbgBY6sQ+mOJlapr+frf1Y60LnVGIl7daO8bMscvM8Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:54.487870Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.08339","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4748b7955cf1cea98b897e32d412e57533c63ebb94d2c3757eeb001bc132a02b","sha256:d9a6f6e1938e2d1175abed0e2a092b193cd4618afc288a76a6b8a0ffae9edd07"],"state_sha256":"aa51218dcc43e7e8e68469d7cb3bf1e31e0b6735fdbd622e73e817d8f8cf1934"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jn4mI4DK7MiEroTyELO/uTWxP+/A8FwUOjy0MjVvgePVfoiR+RmwGWOuMoRjFz+kgkT0NftJIcvaDClVZGZNDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T22:24:29.799727Z","bundle_sha256":"01f5a90cfddc3caacecb301d83c39f3d0e262001b9baa42060d3901c823a35b5"}}