NLP for Morphologically-Rich Languages

Helsinki has a long tradition in working with computational models for morphological analysis and generation of natural languages. Helsinki is the birthplace of two-level morphology (TWOL), a general computational model for word form recognition and production. The language technology group now provides efficient tools for morphological analysis based on finite-state technology and statistical NLP. Additional tools and linguistic resources that emphasise NLP for highly inflecting languages (Finnish in particular) are collected under the umbrella of FIN-CLARIN. For more information, look at the links below and read news and posts related to our work on NLP for morphologically-rich languages.

Tools and Software Libraries:

Linguistic Resources:

Many people have contributed to the development of resources and tools. Below you can see current people working on related research and development as well as selected relevant references.