Towards an Error Correction Memory to Enhance Technical Texts Authoring in LELIE

TL;DR

This paper explores the development of an error correction memory system within the LELIE project to improve correction recommendations for technical texts, focusing on fuzzy lexical items.

Contribution

It introduces the concept of error correction memory for technical texts and demonstrates its application to fuzzy lexical items within the LELIE framework.

Findings

Error correction memory can generate generic correction patterns.

The approach improves correction recommendations for fuzzy lexical items.

The method is demonstrated within the LELIE project.

Abstract

In this paper, we investigate and experiment the notion of error correction memory applied to error correction in technical texts. The main purpose is to induce relatively generic correction patterns associated with more contextual correction recommendations, based on previously memorized and analyzed corrections. The notion of error correction memory is developed within the framework of the LELIE project and illustrated on the case of fuzzy lexical items, which is a major problem in technical texts.