Abstract
The paper presents a complex approach to multilingual representation of possessive pronouns information using statistically-based knowledge discovery techniques of Sketch Engine (SE) software. It analyses semantics, grammar features and related ideas, principles and problems for formal representation of possessive pronouns in light of multidisciplinary complexity of the task. The analysis of representation of possessive pronouns for three different languages in frameworks of Universal Networking Language (UNL) is presented with respect to linguistic motivation used for representations and for machine translation.
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Stoykova, V. (2013). Representation of Possessive Pronouns in Universal Networking Language. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2013. Communications in Computer and Information Science, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41016-1_14
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DOI: https://doi.org/10.1007/978-3-642-41016-1_14
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