Methods of Recovering Punctuation Mark in the Text in Speech Recognition System and its Specific Aspects

Authors

  • Jumayeva Dilnoza Bakhshulloyevna Navoi State University Faculty of Pre-School and Primary Education Major of Primary Education dotsent v.b f.f.f.d(PhD)

Keywords:

language models, punctuation, formal and informal text, spoken language

Abstract

This article provides general information about the methods of restoring punctuation marks in the text and its specific aspects in the speech recognition system, and their features are revealed. The issue of punctuation recovery has been analyzed by NLP, a common method for Automatic Speech Recognition (ASR) systems.

Downloads

Published

2025-02-11

Issue

Vol. 3 No. 2 (2025): American Journal of Language, Literacy and Learning in STEM Education (2993-2769)

Section

Articles

How to Cite

Methods of Recovering Punctuation Mark in the Text in Speech Recognition System and its Specific Aspects. (2025). American Journal of Language, Literacy and Learning in STEM Education (2993-2769), 3(2), 200-201. https://grnjournal.us/index.php/STEM/article/view/6878