Abstract
The aim of this paper is to present a useful and friendly electronic tool (grammar checker) which will carry out the morphological and syntactic analysis of sentences, phrases and words in order to correct syntactic, grammatical and stylistic errors. We also present the formalism used (the Mnemosyne’s Kanon) and also the particularities of the Greek language that hinder the computational processing. Given that the major problem of modern Greek is the lexical ambiguity we designed the Greek tagger grounded on linguistic criteria for those cases where the lexical ambiguity impede the imprint of the errors in Greek language. The texts that were given for correction to the grammar checker were also corrected by a person. In a very large percentage the grammar checker approximates in accuracy the human-corrector.
P. Gakis—This paper is part of P. Gakis PhD. thesis.
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Notes
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The MNEMOSYNE system constitutes a complete NLP system that incorporates advanced linguistic resources and computational tools aiming at the automatic extraction of structured information from unstructured electronic documents. It is mainly used for automatic processing of free text documents (www.neurolingo.gr, www.neurolingo.com).
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Gakis, P., Panagiotakopoulos, C., Sgarbas, K., Tsalidis, C., Vasilios, V. (2015). Construction of a Modern Greek Grammar Checker Through Mnemosyne Formalism. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_21
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DOI: https://doi.org/10.1007/978-3-319-23132-7_21
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