Work

Kyrgyz Automatic Punctuation Restoration Benchmark: reproduction archive

Year: 2026

Type: dataset

Abstract: Frozen text pools, canonical split manifest, archived word-level predictions, training configurations, reports and code snapshot for "Automatic Punctuation Restoration for Kyrgyz: A Two-Source Benchmark and Evaluation Study" (ACM TALLIP, under review). Two written sources (Kyrgyz Wikipedia and a Kyrgyz news corpus), S/C/P word labels with Q/E kept in an extended audit, document-level splits after near-duplicate grouping. See README.md for file hashes, use and per-component licenses.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23959427

Author: Şeker, Abdulkadir

Institution: Sivas Cumhuriyet Üniversitesi

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225261328

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