Summary of Greek2mathtex: a Greek Speech-to-text Framework For Latex Equations Generation, by Evangelia Gkritzali et al.
Greek2MathTex: A Greek Speech-to-Text Framework for LaTeX Equations Generation
by Evangelia Gkritzali, Panagiotis Kaliosis, Sofia Galanaki, Elisavet Palogiannidi, Theodoros Giannakopoulos
First submitted to arxiv on: 11 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This novel speech-to-LaTeX equations system enables users to dictate mathematical expressions and equations in natural language, which are then converted into LaTeX format. The end-to-end system leverages Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) techniques specifically for the Greek language. It includes an ASR engine, a Large Language Model (LLM)-based prompt-driven equations generation mechanism, and a custom evaluation metric employed throughout the development process. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making it easier to write math equations using a computer program called LaTeX. Right now, LaTeX can be hard for some people to use because of its complicated syntax and code-like appearance. This system helps by letting users speak math problems out loud and then converts them into LaTeX format. It’s like having a special translator that turns spoken language into written language. |
Keywords
» Artificial intelligence » Large language model » Natural language processing » Nlp » Prompt » Syntax
