Petr Zemánek


2023

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Multi-Parallel Corpus of North Levantine Arabic
Mateusz Krubiński | Hashem Sellat | Shadi Saleh | Adam Pospíšil | Petr Zemánek | Pavel Pecina
Proceedings of ArabicNLP 2023

Low-resource Machine Translation (MT) is characterized by the scarce availability of training data and/or standardized evaluation benchmarks. In the context of Dialectal Arabic, recent works introduced several evaluation benchmarks covering both Modern Standard Arabic (MSA) and dialects, mapping, however, mostly to a single Indo-European language - English. In this work, we introduce a multi-lingual corpus consisting of 120,600 multi-parallel sentences in English, French, German, Greek, Spanish, and MSA selected from the OpenSubtitles corpus, which were manually translated into the North Levantine Arabic. By conducting a series of training and fine-tuning experiments, we explore how this novel resource can contribute to the research on Arabic MT.

2014

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Quotations, Relevance and Time Depth: Medieval Arabic Literature in Grids and Networks
Petr Zemánek | Jiří Milička
Proceedings of the 3rd Workshop on Computational Linguistics for Literature (CLFL)