{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:H7TCGVJJOCOZK3A5YZ25WWY7OV","short_pith_number":"pith:H7TCGVJJ","canonical_record":{"source":{"id":"1709.04359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-13T14:46:50Z","cross_cats_sorted":[],"title_canon_sha256":"a281439bd4da5809d4325f1f4d6915f3ec4d70d6d8b8caeca051fce619162135","abstract_canon_sha256":"17b3d51e4dc116008cab433b9ff2c0bd008ed6fe2c0c63b22b79db01527a04c0"},"schema_version":"1.0"},"canonical_sha256":"3fe6235529709d956c1dc675db5b1f755a41c92898000d96d75e62590787f14e","source":{"kind":"arxiv","id":"1709.04359","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.04359","created_at":"2026-05-18T00:35:14Z"},{"alias_kind":"arxiv_version","alias_value":"1709.04359v1","created_at":"2026-05-18T00:35:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.04359","created_at":"2026-05-18T00:35:14Z"},{"alias_kind":"pith_short_12","alias_value":"H7TCGVJJOCOZ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"H7TCGVJJOCOZK3A5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"H7TCGVJJ","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:H7TCGVJJOCOZK3A5YZ25WWY7OV","target":"record","payload":{"canonical_record":{"source":{"id":"1709.04359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-13T14:46:50Z","cross_cats_sorted":[],"title_canon_sha256":"a281439bd4da5809d4325f1f4d6915f3ec4d70d6d8b8caeca051fce619162135","abstract_canon_sha256":"17b3d51e4dc116008cab433b9ff2c0bd008ed6fe2c0c63b22b79db01527a04c0"},"schema_version":"1.0"},"canonical_sha256":"3fe6235529709d956c1dc675db5b1f755a41c92898000d96d75e62590787f14e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:14.605077Z","signature_b64":"faZTMI1tj5gArLa2K8AcNKiteBhM87l82Y4rxaDalGjrLLkgHhn2NDK/TurAdXWkzwJuxzW1IoUs6IX1t0fTCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fe6235529709d956c1dc675db5b1f755a41c92898000d96d75e62590787f14e","last_reissued_at":"2026-05-18T00:35:14.604471Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:14.604471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.04359","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":"2026-05-18T00:35:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7pSpAOkJ7xONIZYrB0uunbHUmf7WUrFnV3rc2ptnsBxxus2wOiBF76GOe6gO3m2tZ7R7IdMoVty76PUoVKmCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T12:20:12.344463Z"},"content_sha256":"abf5c71c7a6aa6d1b4bbd1d71362f01225b92f381cd6b89e048c270da34278dd","schema_version":"1.0","event_id":"sha256:abf5c71c7a6aa6d1b4bbd1d71362f01225b92f381cd6b89e048c270da34278dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:H7TCGVJJOCOZK3A5YZ25WWY7OV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ekaterina Lapshninova-Koltunski, Marcos Zampieri","submitted_at":"2017-09-13T14:46:50Z","abstract_excerpt":"In this paper we describe the use of text classification methods to investigate genre and method variation in an English - German translation corpus. For this purpose we use linguistically motivated features representing texts using a combination of part-of-speech tags arranged in bigrams, trigrams, and 4-grams. The classification method used in this paper is a Bayesian classifier with Laplace smoothing. We use the output of the classifiers to carry out an extensive feature analysis on the main difference between genres and methods of translation."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.04359","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":"2026-05-18T00:35:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wQjGsHmEjy+vKEr3EF7k1zHM5QWfMeSCxoOoZxUQocrp1EvO2jczuPnBNZRbuA9RvllwVZmRa5Qhig73yhYjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T12:20:12.344808Z"},"content_sha256":"3128c8473195398f1a1e57831da4094f584e9b81405e49ba759b758af1657e42","schema_version":"1.0","event_id":"sha256:3128c8473195398f1a1e57831da4094f584e9b81405e49ba759b758af1657e42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV/bundle.json","state_url":"https://pith.science/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV/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":"2026-06-08T12:20:12Z","links":{"resolver":"https://pith.science/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV","bundle":"https://pith.science/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV/bundle.json","state":"https://pith.science/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H7TCGVJJOCOZK3A5YZ25WWY7OV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:H7TCGVJJOCOZK3A5YZ25WWY7OV","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":"17b3d51e4dc116008cab433b9ff2c0bd008ed6fe2c0c63b22b79db01527a04c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-13T14:46:50Z","title_canon_sha256":"a281439bd4da5809d4325f1f4d6915f3ec4d70d6d8b8caeca051fce619162135"},"schema_version":"1.0","source":{"id":"1709.04359","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.04359","created_at":"2026-05-18T00:35:14Z"},{"alias_kind":"arxiv_version","alias_value":"1709.04359v1","created_at":"2026-05-18T00:35:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.04359","created_at":"2026-05-18T00:35:14Z"},{"alias_kind":"pith_short_12","alias_value":"H7TCGVJJOCOZ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"H7TCGVJJOCOZK3A5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"H7TCGVJJ","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:3128c8473195398f1a1e57831da4094f584e9b81405e49ba759b758af1657e42","target":"graph","created_at":"2026-05-18T00:35:14Z","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":"In this paper we describe the use of text classification methods to investigate genre and method variation in an English - German translation corpus. For this purpose we use linguistically motivated features representing texts using a combination of part-of-speech tags arranged in bigrams, trigrams, and 4-grams. The classification method used in this paper is a Bayesian classifier with Laplace smoothing. We use the output of the classifiers to carry out an extensive feature analysis on the main difference between genres and methods of translation.","authors_text":"Ekaterina Lapshninova-Koltunski, Marcos Zampieri","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-13T14:46:50Z","title":"Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.04359","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:abf5c71c7a6aa6d1b4bbd1d71362f01225b92f381cd6b89e048c270da34278dd","target":"record","created_at":"2026-05-18T00:35:14Z","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":"17b3d51e4dc116008cab433b9ff2c0bd008ed6fe2c0c63b22b79db01527a04c0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-09-13T14:46:50Z","title_canon_sha256":"a281439bd4da5809d4325f1f4d6915f3ec4d70d6d8b8caeca051fce619162135"},"schema_version":"1.0","source":{"id":"1709.04359","kind":"arxiv","version":1}},"canonical_sha256":"3fe6235529709d956c1dc675db5b1f755a41c92898000d96d75e62590787f14e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fe6235529709d956c1dc675db5b1f755a41c92898000d96d75e62590787f14e","first_computed_at":"2026-05-18T00:35:14.604471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:14.604471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"faZTMI1tj5gArLa2K8AcNKiteBhM87l82Y4rxaDalGjrLLkgHhn2NDK/TurAdXWkzwJuxzW1IoUs6IX1t0fTCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:14.605077Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.04359","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abf5c71c7a6aa6d1b4bbd1d71362f01225b92f381cd6b89e048c270da34278dd","sha256:3128c8473195398f1a1e57831da4094f584e9b81405e49ba759b758af1657e42"],"state_sha256":"f39bcfb7eaf59c9daa2858760b8684489798e7ad0bcb58d33de0e17f7a435e0d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CzQGvEJohiNSKi3vn5hYdoUjScgw/06xop3mD6V0DStxGTpVO8Bsr9HameeOXBBHIlcR6RvKxmMFd2n4/82lBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T12:20:12.346693Z","bundle_sha256":"4c7e8a8eb03c26d49a00e565efbbb977eab0333467d78f5d010f332403c0de9f"}}