Punctuation Restoration System for Slovene Language

• Published in: Research Challenges in Information Science Vol. 385; pp. 509 - 514
• Main Authors: Bajec, Marko, Janković, Marko, Žitnik, Slavko, Bajec, Iztok Lebar
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2020; Springer International Publishing
• Series: Lecture Notes in Business Information Processing
• Subjects: Automatic speech recognition; Punctuation restoration; Text processing
• ISBN: 9783030503154; 3030503151
• ISSN: 1865-1348; 1865-1356
• DOI: 10.1007/978-3-030-50316-1_31

Punctuation restoration is the process of adding punctuation symbols to raw text. It is typically used as a post-processing task of Automatic Speech Recognition (ASR) systems. In this paper we present an approach for punctuation restoration for texts in Slovene language. The system is trained using bi-directional Recurrent Neural Networks fed by word embeddings only. The evaluation results show our approach is capable of restoring punctuations with a high recall and precision. The F1 score is specifically high for commas and periods, which are considered most important punctuation symbols for the understanding of the ASR based transcripts.