A Comparison of Lithuanian Morphological Analyzers

  • Jurgita Kapočiūtė-DzikienėEmail author
  • Erika Rimkutė
  • Loic Boizou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10415)


In this paper we present the comparative research work disclosing strengths and weaknesses of two the most popular and publicly available Lithuanian morphological analyzers, in particular, Lemuoklis and Their lemmatization, part-of-speech tagging, and fined-grained annotation of the morphological categories (as case, gender, tense, etc.) performance was evaluated on the morphologically annotated gold standard corpus composed of four domains, in particular, administrative, fiction, scientific and periodical texts. significantly outperformed Lemuoklis by \(\sim \)1.7%, \(\sim \)2.5%, and \(\sim \)8.1% on the lemmatization, part-of-speech tagging, and fine-grained annotation tasks achieving \(\sim \)98.0%, \(\sim \)95.3% and, \(\sim \)86.8% of the accuracy, respectively. was also superior on the administrative, fiction, and periodical texts; however, Lemuoklis yielded similar performance on the scientific texts and even bypassed in the fine-grained annotation task.


Lithuanian morphological analysers Gold-standard corpus Experimental evaluation The Lithuanian language 



The authors thank the researchers from LLC Fotonija, especially Virginijus Dadurkevičius, for providing information about the morphological analyzer.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jurgita Kapočiūtė-Dzikienė
    • 1
    Email author
  • Erika Rimkutė
    • 2
  • Loic Boizou
    • 2
  1. 1.Department of Applied InformaticsVytautas Magnus UniversityKaunasLithuania
  2. 2.Centre of Computational LinguisticsVytautas Magnus UniversityKaunasLithuania

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