Corpus sense: A comprehensive tool for advanced text and discourse exploration

IF 2.1

Applied Corpus Linguistics Pub Date : 2025-08-13 DOI:10.1016/j.acorp.2025.100145

Antonio Moreno-Ortiz

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Abstract

Corpus Sense is a web application with a focus on content and discourse analysis designed to facilitate the exploration, analysis and visualization of linguistic corpora that incorporates some advanced functionalities not available in existing software. The tool enables users to obtain useful insights with minimal effort by combining quantitative, qualitative and AI-powered features. It is designed for small to medium-sized corpora (currently up to 2.5 million tokens), permits online corpus sharing, and offers unique functionalities, such as NLP-based keyword extraction, named entity recognition, semantic search and advanced topic modelling with LLM-generated interpretable labels. The application’s interface is simple and intuitive, in an effort to make it accessible to a wide range of user profiles. This paper provides a comprehensive overview of the application’s development, architecture and applications in corpus linguistics and discourse analysis research. This description is complemented by a discussion of the integration of novel NLP-based and AI-assisted tools with traditional corpus analysis methods.

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语料库感知：高级文本和话语探索的综合工具

语料库感知是一个专注于内容和话语分析的web应用程序，旨在促进语言语料库的探索，分析和可视化，其中包含一些现有软件无法提供的高级功能。该工具通过结合定量、定性和人工智能功能，使用户能够以最小的努力获得有用的见解。它专为中小型语料库（目前多达250万个令牌）而设计，允许在线语料库共享，并提供独特的功能，例如基于nlp的关键字提取，命名实体识别，语义搜索和高级主题建模与llm生成的可解释标签。该应用程序的界面简单直观，旨在使其能够被广泛的用户配置文件访问。本文对该应用程序的开发、结构及其在语料库语言学和语篇分析研究中的应用进行了综述。本文还讨论了基于nlp和ai辅助的新型工具与传统语料库分析方法的集成。

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