Hristina Kukova


2024

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Assessing Reading Literacy of Bulgarian Pupils with Finger–tracking
Alessandro Lento | Andrea Nadalini | Marcello Ferro | Claudia Marzi | Vito Pirrelli | Tsvetana Dimitrova | Hristina Kukova | Valentina Stefanova | Maria Todorova | Svetla Koeva
Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)

The paper reports on the first steps in developing a time-stamped multimodal dataset of reading data by Bulgarian children. Data are being collected, structured and analysed by means of ReadLet, an innovative infrastructure for multimodal language data collection that uses a tablet as a reader’s front-end. The overall goal of the project is to quantitatively analyse the reading skills of a sample of early Bulgarian readers collected over a two-year period, and compare them with the reading data of early readers of Italian, collected using the same protocol. We illustrate design issues of the experimental protocol, as well as the data acquisition process and the post-processing phase of data annotation/augmentation. To evaluate the potential and usefulness of the Bulgarian dataset for reading research, we present some preliminary statistical analyses of our recently collected data. They show robust convergence trends between Bulgarian and Italian early reading development stages.

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Multilingual Corpus of Illustrative Examples on Activity Predicates
Ivelina Stoyanova | Hristina Kukova | Maria Todorova | Tsvetana Dimitrova
Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)

The paper presents the ongoing process of compilation of a multilingual corpus of illustrative examples to supplement our work on the syntactic and semantic analysis of predicates representing activities in Bulgarian and other languages. The corpus aims to include over 1,000 illustrative examples on verbs from six semantic classes of predicates (verbs of motion, contact, consumption, creation, competition and bodily functions) which provide a basis for observations on the specificity of their realisation. The corpus of illustrative examples will be used for contrastive studies and further elaboration on the scope and behaviour of activity verbs in general, as well as its semantic subclasses.

2012

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Application of Clause Alignment for Statistical Machine Translation
Svetla Koeva | Svetlozara Leseva | Ivelina Stoyanova | Rositsa Dekova | Angel Genov | Borislav Rizov | Tsvetana Dimitrova | Ekaterina Tarpomanova | Hristina Kukova
Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation