Morphological Tagging and Lemmatization in the Albanian Language

Autor: Mati Diellza Nagavci, Hamiti Mentor, Mollakuqe Elissa
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: SEEU Review, Vol 16, Iss 2, Pp 3-16 (2021)
Druh dokumentu: article
ISSN: 1857-8462
DOI: 10.2478/seeur-2021-0015
Popis: An important element of Natural Language Processing is parts of speech tagging. With fine-grained word-class annotations, the word forms in a text can be enhanced and can also be used in downstream processes, such as dependency parsing. The improved search options that tagged data offers also greatly benefit linguists and lexicographers. Natural language processing research is becoming increasingly popular and important as unsupervised learning methods are developed. There are some aspects of the Albanian language that make the creation of a part-of-speech tag set challenging.
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