textkorpustanalyser

Textkorpustanalyser is a software tool designed to analyze large text corpora. It provides a range of linguistic analysis capabilities commonly used in corpus linguistics and natural language processing, including tokenization, part-of-speech tagging, lemmatization, and named-entity recognition. It can generate frequency lists, concordances, collocations, and n-gram statistics, and supports keyword-in-context searches and dispersion analysis. The tool is designed to handle multi-language corpora and accepts input in various formats such as plain text, XML, JSON, and CoNLL-style data.

Workflow and features: It offers a processing pipeline that ingests texts, applies tokenization and normalization, runs linguistic analyzers, and produces structured results. Users can filter and normalize data with stopword lists, language models, and stemming. The output can be visualized through charts for frequency distributions, token length, or dispersion across documents, and can be exported as CSV, JSON, or visualization-ready formats. An API or command-line interface supports batch processing and integration with external tools.

Architecture and extensibility: The project emphasizes modularity, allowing plug-in analyzers for morphology, syntax, semantics, and domain-specific tagging. It can be integrated with existing NLP libraries and data stores, enabling scalable processing of large corpora via streaming or chunked processing. It supports customization of annotation schemas and export formats to fit corpus-building workflows.

Applications and community: Textkorpustanalyser is used in academic research, lexicography, language education, and content analysis. It is accompanied by documentation, tutorials, and an active user community that contributes examples and plug-ins. See also: text corpus, corpus linguistics, natural language processing.