Greek2MathTex: A Greek Speech-to-Text Framework for LaTeX Equations Generation

Enhancing GitHub Actions CI for FastAPI: Build, Test, and Publish - PyImageSearch


[Submitted on 11 Dec 2024]

View a PDF of the paper titled Greek2MathTex: A Greek Speech-to-Text Framework for LaTeX Equations Generation, by Evangelia Gkritzali and 4 other authors

View PDF
HTML (experimental)

Abstract:In the vast majority of the academic and scientific domains, LaTeX has established itself as the de facto standard for typesetting complex mathematical equations and formulae. However, LaTeX’s complex syntax and code-like appearance present accessibility barriers for individuals with disabilities, as well as those unfamiliar with coding conventions. In this paper, we present a novel solution to this challenge through the development of a novel speech-to-LaTeX equations system specifically designed for the Greek language. We propose an end-to-end system that harnesses the power of Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) techniques to enable users to verbally dictate mathematical expressions and equations in natural language, which are subsequently converted into LaTeX format. We present the architecture and design principles of our system, highlighting key components such as the ASR engine, the LLM-based prompt-driven equations generation mechanism, as well as the application of a custom evaluation metric employed throughout the development process. We have made our system open source and available at this https URL.

Submission history

From: Panagiotis Kaliosis [view email]
[v1]
Wed, 11 Dec 2024 22:29:44 UTC (1,074 KB)



Source link
lol

By stp2y

Leave a Reply

Your email address will not be published. Required fields are marked *

No widgets found. Go to Widget page and add the widget in Offcanvas Sidebar Widget Area.