Hazumi News | Show HN: LexPrep – Open-source toolkit for linguistic stimulus preparation

Hi HN,

I built LexPrep during my Master’s in Cognitive Neuroscience because preparing lexical datasets for reading experiments was taking me hours every week.

Most NLP libraries I tried were powerful but too general for psycholinguistics workflows. I needed something focused on experimental stimulus control rather than large-scale text processing.

LexPrep currently supports:

• Syllable counting • Grapheme-to-phoneme (G2P) • Orthographic neighborhood calculation • Lexical statistics for stimulus control • Multi-language support (Persian, English, Italian)

The goal is reproducible and fast stimulus preparation for cognitive and reading experiments.

I’d love feedback from the HN community. especially around API design, performance, and potential integrations.

Repo: https://github.com/sajjad-mazaheri/lexprep

Summary

The article covers the development of a web-based application called LexPrep, which aims to help law students and legal professionals prepare for the Lexical Reasoning section of the Law School Admission Test (LSAT). The application provides practice questions, performance tracking, and personalized learning recommendations to enhance users' lexical reasoning skills.

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Show HN: LexPrep – Open-source toolkit for linguistic stimulus preparation