LauseetAnalysis

LauseetAnalysis is a computational linguistic toolkit designed for the automated analysis of Finnish sentences. The name derives from the Finnish word “lauseet,” meaning “sentences,” and reflects the tool’s focus on parsing and interpreting complex syntactic structures in the Finnish language. Developed by a research group at the University of Helsinki, LauseetAnalysis was first released in 2020 as part of a broader effort to support linguistic research, natural language processing (NLP) applications, and educational resources for Finnish language learners.

The core of LauseetAnalysis consists of a modular pipeline that performs tokenisation, morphological segmentation, part‑of‑speech tagging, and dependency parsing. It employs a hybrid approach that blends rule‑based grammar frameworks with machine‑learning models trained on annotated corpora such as the Finnish Treebank. The resulting dependency trees can be visualised in standard formats and exported to external tools for further analysis or integration into downstream models.

Key features of the toolkit include an interactive web interface for on‑the‑fly illustration of analysis, support for batch processing of large corpora, and an API that enables integration with language‑learning platforms and research software. LauseetAnalysis has been cited in several papers on morpho‑syntactic tagging of agglutinative languages and has been used in projects ranging from automated essay scoring to the development of grammar checkers for Finnish speech synthesis systems.