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From Transcripts to Insights: A Digital Corpus and Interactive Speech Analysis Platform for Turkish Parliamentary Records

Turkish parliamentary transcripts constitute a unique longitudinal record of the country’s political, institutional, and linguistic evolution starting from 1920. Yet much of this archive has remained computationally inaccessible due to scanned and analog typewritten transcripts, historical orthography, and heterogeneous formats. We present a unified, machine-readable corpus of the Grand National Assembly of Türkiye (TBMM), comprising 26,648 session transcripts and 1.7 million pages encompassing ten diverse parliamentary entities spanning a century of legislative history. In addition, we introduce an open-access web platform for speech-level analysis of parliamentary debates from 1983 to 2024. The platform integrates named entity recognition, topic modeling, and diachronic semantic shift detection, enabling exploration of discourse patterns across time and parties, including the frequency and thematic focus of speech activities of specific Members of Parliament. By bridging the gap between raw archival scans and modern NLP tools, the dataset and platform support reproducible research in NLP, digital humanities, and computational social science.