Abstract
Recently the focus on temporal information in NLP applications has increased. Based on general temporal theories, annotations and standards, the paper presents the steps performed towards obtaining a parallel English-Romanian corpus, with the temporal information marked in both languages. The automatic import from English to Romanian of the TimeML markup has a success rate of 96.53%. The paper analyzes the main situations that appeared during the automatic import: perfect or impossible transfer, transfer with amendments or for the language specific phenomena. This corpus study permits to decide how import techniques can be used on the temporal domain.
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Forăscu, C. (2008). Why Don’t Romanians Have a Five O’clock Tea, Nor Halloween, But Have a Kind of Valentines Day?. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2008. Lecture Notes in Computer Science, vol 4919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78135-6_7
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DOI: https://doi.org/10.1007/978-3-540-78135-6_7
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