Eva Fučíková
Charles University in Prague
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Publication
Featured researches published by Eva Fučíková.
Proceedings of the Royal Society of London. Series B, Biological Sciences | 2010
Alice Exnerová; Kateřina Hotová Svádová; Eva Fučíková; Pieter Drent; Pavel Štys
Variation in reactions to aposematic prey is common among conspecific individuals of bird predators. It may result from different individual experience but it also exists among naive birds. This variation may possibly be explained by the effect of personality—a complex of correlated, heritable behavioural traits consistent across contexts. In the great tit (Parus major), two extreme personality types have been defined. ‘Fast’ explorers are bold, aggressive and routine-forming; ‘slow’ explorers are shy, non-aggressive and innovative. Influence of personality type on unlearned reaction to aposematic prey, rate of avoidance learning and memory were tested in naive, hand-reared great tits from two opposite lines selected for exploration (slow against fast). The birds were subjected to a sequence of trials in which they were offered aposematic adult firebugs (Pyrrhocoris apterus). Slow birds showed a greater degree of unlearned wariness and learned to avoid the firebugs faster than fast birds. Although birds of both personality types remembered their experience, slow birds were more cautious in the memory test. We conclude that not only different species but also populations of predators that differ in proportions of personality types may have different impacts on survival of aposematic insects under natural conditions.
linguistic annotation workshop | 2015
Zdeňka Urešová; Ondřej Dušek; Eva Fučíková; Jan Hajic; Jana Šindlerová
This paper presents a resource and the associated annotation process used in a project of interlinking Czech and English verbal translational equivalents based on a parallel, richly annotated dependency treebank containing also valency and semantic roles, namely the Prague Czech-English Dependency Treebank. One of the main aims of this project is to create a high-quality and relatively large empirical base which could be used both for linguistic comparative research as well as for natural language processing applications, such as machine translation or cross-language sense disambiguation. This paper describes the resulting lexicon, CzEngVallex, and the process of building it, as well some interesting observations and statistics already obtained.
The Prague Bulletin of Mathematical Linguistics | 2016
Zdeňka Urešová; Eva Fučíková; Jana Šindlerová
Abstract This paper introduces a new bilingual Czech-English verbal valency lexicon (called CzEng-Vallex) representing a relatively large empirical database. It includes 20,835 aligned valency frame pairs (i.e., verb senses which are translations of each other) and their aligned arguments. This new lexicon uses data from the Prague Czech-English Dependency Treebank and also takes advantage of the existing valency lexicons for both languages: the PDT-Vallex for Czech and the EngVallex for English. The CzEngVallex is available for browsing as well as for download in the LINDAT/CLARIN repository. The CzEngVallex is meant to be used not only by traditional linguists, lexicographers, translators but also by computational linguists both for the purposes of enriching theoretical linguistic accounts of verbal valency from a cross-linguistic perspective and for an innovative use in various NLP tasks.
Journal of Linguistics/Jazykovedný casopis | 2017
Zdeňka Urešová; Eva Fučíková; Eva Hajičová
Abstract In this paper, we introduce our ongoing project about synonymy in bilingual context. This project aims at exploring semantic ‘equivalence’ of verb senses of generally different verbal lexemes in a bilingual (Czech-English) setting. Specifically, it focuses on their valency behavior within such equivalence groups. We believe that using bilingual context (translation) as an important factor in the delimitation of classes of synonymous lexical units (verbs, in our case) may help to specify the verb senses, also with regard to the (semantic) roles relation to other verb senses and roles of their arguments more precisely than when using monolingual corpora. In our project, we work “bottom-up”, i.e., from an evidence as recorded in our corpora and not “top-down”, from a predefined set of semantic classes.
Proceedings of the Workshop on Discontinuous Structures in Natural Language Processing | 2016
Zdenka Uresová; Eva Fučíková; Jan Hajic
We describe results of investigation of a specific type of discontinuous constructions, namely non-projective constructions concerning verbs and their arguments. This topic is especially important for languages with a relatively free word order, such as Czech, which is the language we have primarily worked with. For comparison, we have included some results for English. The corpora used for both languages are the Prague Czech-English Dependency Treebank and the Prague Dependency Treebank, which are both annotated at a dependency syntax level as well as a deep (semantic) level, including verbs and their valency (arguments). We are using traditionally defined non-projectivity on trees with full linear ordering, but the two levels of annotation are innovatively combined to determine if a particular (deep) verb -argument structure is non-projective. As a result, we have identified several types of discontinuities, which we classify either by the verb class or structurally in terms of the verb, its arguments and their dependents. In addition, we have quantitatively compared selected phenomena found in Czech translated texts (in the PCEDT) to the native Czech as found in the original Prague Dependency Treebank.
Behavioral Ecology | 2007
Alice Exnerová; Pavel Štys; Eva Fučíková; Silvie Veselá; Kateřina Hotová Svádová; Milena Prokopová; Vojtěch Jarošík; Roman Fuchs; Eva Landová
north american chapter of the association for computational linguistics | 2013
Zdenka Uresová; Jan Hajic; Eva Fučíková; Jana Šindlerová
language resources and evaluation | 2014
Jana Šindlerová; Zdenka Uresová; Eva Fučíková
language resources and evaluation | 2018
Zdenka Uresová; Eva Fučíková; Eva Hajičová; Jan Hajic
language resources and evaluation | 2018
Zdenka Uresová; Eva Fučíková; Eva Hajičová; Jan Hajic