{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:Y6ZRMS4JMWOVHD6ZUHZ4BDO6Y7","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":"807486f05b07a2a87db8fa83e309f38c30c61fc1fcbe5c9f3343814e738ad436","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-14T08:26:50Z","title_canon_sha256":"9d4c3a7f6de21a083e083b50d3cbfec7b37d81b40e58200957801a5a33c2fffa"},"schema_version":"1.0","source":{"id":"2106.07225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07225","created_at":"2026-07-05T02:49:03Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07225v1","created_at":"2026-07-05T02:49:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07225","created_at":"2026-07-05T02:49:03Z"},{"alias_kind":"pith_short_12","alias_value":"Y6ZRMS4JMWOV","created_at":"2026-07-05T02:49:03Z"},{"alias_kind":"pith_short_16","alias_value":"Y6ZRMS4JMWOVHD6Z","created_at":"2026-07-05T02:49:03Z"},{"alias_kind":"pith_short_8","alias_value":"Y6ZRMS4J","created_at":"2026-07-05T02:49:03Z"}],"graph_snapshots":[{"event_id":"sha256:19dae9c1f1c1ce5b9f3b27f706419193a48d6b090544f78d1779b37b72debc9e","target":"graph","created_at":"2026-07-05T02:49:03Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.07225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The applications of recurrent neural networks in machine translation are increasing in natural language processing. Besides other languages, Bangla language contains a large amount of vocabulary. Improvement of English to Bangla machine translation would be a significant contribution to Bangla Language processing. This paper describes an architecture of English to Bangla machine translation system. The system has been implemented with the encoder-decoder recurrent neural network. The model uses a knowledge-based context vector for the mapping of English and Bangla words. Performances of the mo","authors_text":"Md. Mohsin Uddin, Md. Rifayet Azam Talukder, Shaykh Siddique, Tahmid Ahmed","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-14T08:26:50Z","title":"English to Bangla Machine Translation Using Recurrent Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07225","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:bb7f4f3f81845972b6d0c8791ef03ed68d076a947f49156608b7796ea4f320ba","target":"record","created_at":"2026-07-05T02:49:03Z","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":"807486f05b07a2a87db8fa83e309f38c30c61fc1fcbe5c9f3343814e738ad436","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2021-06-14T08:26:50Z","title_canon_sha256":"9d4c3a7f6de21a083e083b50d3cbfec7b37d81b40e58200957801a5a33c2fffa"},"schema_version":"1.0","source":{"id":"2106.07225","kind":"arxiv","version":1}},"canonical_sha256":"c7b3164b89659d538fd9a1f3c08ddec7de5ac37d8a866882e88074e2b97528f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7b3164b89659d538fd9a1f3c08ddec7de5ac37d8a866882e88074e2b97528f3","first_computed_at":"2026-07-05T02:49:03.389665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:49:03.389665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TzmftvOt4atm7xJoA/htRcgSZnZH6uAsS53F8F62Vb7GnAP40h3n/gPu724IanU5U+IVnYnfRAsMv37T14PyBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:49:03.390055Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.07225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb7f4f3f81845972b6d0c8791ef03ed68d076a947f49156608b7796ea4f320ba","sha256:19dae9c1f1c1ce5b9f3b27f706419193a48d6b090544f78d1779b37b72debc9e"],"state_sha256":"364cd093bb2122a097f6f8436dc7106ed81c850276bb1c340a5c828627b1c906"}