Abstract
The Szeged Corpus is a manually annotated natural language corpus comprising 1.2 million word entries plus 225 thousand punctuation marks. With this, it is the largest manually processed Hungarian textual database that serves as a reference material for further research in natural language processing (NLP) as well as a learning database for machine learning algorithms and other software applications. Language processing of the corpus texts so far included morpho-syntactic analysis, POS tagging and shallow syntactic parsing. Semantic information was also added to a pre-selected section of the corpus to support automated information extraction (IE).
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Csendes, D., Csirik, J., Gyimóthy, T. (2004). The Szeged Corpus: A POS Tagged and Syntactically Annotated Hungarian Natural Language Corpus. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_6
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DOI: https://doi.org/10.1007/978-3-540-30120-2_6
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