From text to insight: Uncovering linguistic patterns with SWEGRAM

Abstract

Empirical linguistic analysis provides valuable insights into textual data for researchers in the humanities and social sciences, enabling them to identify patterns and trends within large datasets. SWEGRAM is a freely available tool designed to annotate and analyze Swedish and English texts without requiring programming skills or a user account. Users can upload one or more texts for linguistic analysis, extracting morphological and syntactic features. The linguistically annotated texts can then be used for quantitative linguistic analysis, allowing researchers to systematically explore textual characteristics. Additionally, the tool visualizes syntactic relations between words in sentences and provides detailed insights into the distribution of syntactic functions and relations within the text. Users can also create their own linguistically annotated text collections and generate statistical summaries of the linguistic properties of their texts. The tool is available as both a web-based service, which requires no user login or account, and a downloadable version for local use when data privacy and security are a priority. This dual availability ensures accessibility and flexibility for diverse research needs.