Papers by Irina Temnikova
The WAW Corpus: The First Corpus of Interpreted Speeches and their Translations for English and Arabic (L18-1)
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| Challenge: | Using the corpus, we study the characteristics of interpreters' work and train machine translation systems. |
| Approach: | They propose to build an interpreting corpus for Arabic and an Arabic corpus to study interpreters' work. |
| Outcome: | The proposed corpus can be used for teaching interpreters and to train machine translation systems. |
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite (D19-1)
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| Challenge: | Currently, machine translation is performed at the level of individual sentences, in isolation from the rest of the document. |
| Approach: | They propose a dataset that can be used as a test suite for pronoun translation . they propose an evaluation measure to differentiate good and bad pronounce translations . |
| Outcome: | The proposed dataset can be used as a test suite for pronoun translation in English . it covers multiple source languages and different pronouner errors drawn from real system translations . |
SM-FEEL-BG - the First Bulgarian Datasets and Classifiers for Detecting Feelings, Emotions, and Sentiments of Bulgarian Social Media Text (2024.lrec-main)
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Irina Temnikova, Iva Marinova, Silvia Gargova, Ruslana Margova, Alexander Komarov, Tsvetelina Stefanova, Veneta Kireva, Dimana Vyatrova, Nevena Grigorova, Yordan Mandevski, Stefan Minkov
| Challenge: | SM-FEEL-BG is the first Bulgarian-language package for emotion detection and sentiment analysis. |
| Approach: | They introduce SM-FEEL-BG, a Bulgarian-language package that contains 6 datasets with Social Media (SM) texts with emotion, feeling, and sentiment labels and 4 classifiers trained on them. |
| Outcome: | The proposed package is the first to be released in Bulgarian and is available for free. |