Linguistic Analysis

Methods for automated linguistic analysis are the foundation of robust multilingual solutions that allows to cross language barriers. Tilde’s researchers has deep knowledge in developing written language technology for complex, highly inflected languages.

Tilde’s long-term research activities on written language processing and linguistic analysis for highly inflected languages has resulted in the exceptional proofing tools and natural language processing technologies (e.g. morphological analyzers and taggers, syntactic parsers, named entity recognizers, etc.) for Baltic languages.

Linguistic analysis research


Linguistic analysis for better language technology

The quality of basic linguistic analysis tools for written text processing plays a crucial role in the development of high level, cutting-edge language technology solutions. Therefore, Tilde's team of researchers is constantly looking for novel methods to improve linguistic analysis tools. Methods used for linguistic analysis include knowledge based, data driven and hybrid. Recently our researchers started to investigate neural network models for three types of written text analysis tasks – syntactic analysis, assessment of grammaticality, and grammar correction.

Tilde’s research in syntactic analysis and grammar checking has been internationally acknowledged and has received best paper, 3rd place in 2014.



Jose Manuel Gómez-Pérez, Andrés García-Silva, Cristian Berrio, German Rigau, Aitor Soroa, Christian Lieske, Johannes Hoffart, Felix Sasaki, Daniel Dahlmeier, Inguna Skadiņa (Tilde), Aivars Bērziņš (Tilde), Andrejs Vasiḷjevs (Tilde) and Teresa Lynn. 2023. Deep Dive Text Analytics and Natural Language Understanding. European Language Equality, Springer, 313–336.