bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of the Forest Health Through Remote Sensing Techniques in Valea Roșie Natura 2000 Site, Bihor County, Romania
Authors: Blaga L. , Josan Ioana , Herman G. V. , Grama V. , Nistor S. , Suba N.-Sz. 
Published: December 2019

Abstract
The present study deals with the estimation of the evolution tendency of the environmental stage of a protected habitat with predominant forest vegetation, during a short period of time, using techniques specific to remote sensing. Therefore, two important spectral indexes were tested while assessing the health of the forest ecosystems: i.e. the Normalized Difference Vegetation Index (NDVI) and the Structure Insensitive Pigment Index (SIPI). The period of time taken into consideration for the study was, 2013 - 2019, having used medium resolution satellite photos, Landsat 8 OLI, having initially undergone standard pre-processing operations (resize data, radiometric calibration, atmospheric correction). The satellite images modified according to the Top of Atmosphere Reflectance and corrected topographically resulted into getting values for the two before mentioned indexes. The quantity-spatial results obtained, correlated to the monthly values of the precipitations processed in order to obtain the SPI (Standardized Precipitation Index), mostly reveal, in what SIPI and also NDVI are concerned, a slight decrease in the quality of the forest on the analysed area in the sense that the vegetation stress is increased under meteorological factors, expressed differently depending on the morphometric and pedological parameters of the habitat.
Data approximation using Lotka-Volterra models and a software minimization function
Authors: Fečkan M. , Pačuta J. 
Published: December 2019

Abstract
In recent years, a lot of effort has been put into finding suitable mathematical models that fit historical data set. Such models often include coefficients and the accuracy of data approximation depends on them. So the goal is to choose the unknown coefficients to achieve the best possible approximation of data by the corresponding solution of the model. One of the standard methods for coefficient estimation is the least square method. This can provide us data approximation but it can also serve as a starting method for further minimizations such as Matlab function fminsearch.
Towards the non-stretchable and non-elongating string with stress-strain handling
Authors: Ďurikovič R. , Siebenstich E. 
Published: December 2019

Abstract
We propose an approach for real-time physically semi-realistic animation of strings which directly manipulates the string positions by position based dynamics. The main advantage of a position based dynamics is its controllability. Instability problems of explicit integration schemes can be avoided. Specifically, we offer the following three contributions. We introduce the non-elongating and non-stretchable mass spring dynamics model based on Position Based Dynamics to simulate 1D string. We introduce a method for propagating the twisting angle along the chain of segments. In addition, we solve collision constraints by regularly distributing the spheres along the chain segments followed by particle projection to validate the positions. Proposed strain limiting constraint can handle the strings fixed in multiple locations contrary to single fixed side as is common for hair models. The use of multiple constraints provides an efficient treatment for stiff twisting and non-stretchable mass spring dynamics model.
Statistical learning for recommending (robust) nonlinear regression methods
Authors: Kalina J. , Tichavský J. 
Published: December 2019

Abstract
We are interested in comparing the performance of various nonlinear estimators of parameters of the standard nonlinear regression model. While the standard nonlinear least squares estimator is vulnerable to the presence of outlying measurements in the data, there exist several robust alternatives. However, it is not clear which estimator should be used for a given dataset and this question remains extremely difficult (or perhaps infeasible) to be answered theoretically. Metalearning represents a computationally intensive methodology for optimal selection of algorithms (or methods) and is used here to predict the most suitable nonlinear estimator for a particular dataset. The classification rule is learned over a training database of 24 publicly available datasets. The results of the primary learning give an interesting argument in favor of the nonlinear least weighted squares estimator, which turns out to be the most suitable one for the majority of datasets. The subsequent metalearning reveals that tests of normality and heteroscedasticity play a crucial role in finding the most suitable nonlinear estimator.
Colloquial Lexemes in Journalistic Texts
Authors: Jasinská Lucia 
Published: December 2019

Abstract
In our paper we mainly focus on the research of colloquial lexical units in journalistic texts. The aim of the research is colloquiality as a marked attribute of journalistic texts. At first we define the terms hovorovosť (colloquiality) (also in relation to the term hovorenosť (spokenness)) and hovorový (colloquial). Since the point was the research of “living language” – represented by field of journalism – our source material were journalistic texts from the database of the Slovak National Corpus. The number of occurrence of colloquial lexical units was recorded according to their absolute frequency and the results were categorized and interpreted. The most frequented means of expression were verified in current lexicographic processing and the changes of the indicator of colloquiality was studied. With style parameters in background, we evaluated the markedness of the vocabulary of analyzed journalistic texts.
Frequency in Corpora as a Signal of Lexicalization (On the Absolute Usage of Comparative and Superlative Adjectives)
Authors: Kochová Pavla 
Published: December 2019

Abstract
The study deals with the category of comparison of Czech adjectives from the semantic point of view; it concentrates especially on the so-called absolute (or elative) usage of comparatives and the absolute usage of superlatives and their lexicographic treatment (or absence of the lexicographic treatment) in Czech monolingual dictionaries. The question is whether their frequency in corpora can prove lexicalization of this usage.
On the Valency of Various Types of Adverbs and Its Lexicographic Description
Authors: Sláma Jakub , Štěpánková Barbora 
Published: December 2019

Abstract
This paper deals with the neglected issue of the valency of adverbs. After providing a brief theoretical background, a procedure is presented of extracting the list of potentially valent adverbs from two syntactically parsed corpora of Czech, SYN2015 and PDT. Taking note of the methodological and theoretical problems surrounding this task, especially those relating to the fuzzy boundaries of word classes, we outline the types of adverbs identified as having valency properties. Where appropriate, we comment on – and occasionally suggest improvements in – the lexicographic treatment of valent adverbs.
The Synchronic Dynamics of Words Ending in -ita/-osť
Authors: Šimková Mária 
Published: December 2019

Abstract
This paper focuses on the potential of using corpora to study manifestations of the synchronic dynamics of language and on the analysis of how words with the suffixes -ita/-osť function in contemporary texts. The analysis is based on data from the Slovak National Corpus: the corpus of older texts (texts from 1955 to 1989), the primary corpus (texts from 1955 to 2017, especially since 2000), and the corpus of online texts (until 2017). A comparison of the frequency and collocations of the analyzed words shows the dynamics of these microsystems in the language of the previous and the current period.
Slovak Comparative Correlatives: New Insights
Authors: Horsch Jakob 
Published: December 2019

Abstract
Comparative Correlatives (CCs) are structures that have attracted substantial interest. In Slovak, they typically look like the following proverb:

Čím bližšie Rím, tým horší kresťan.
‘The closer (to) Rome, the worse the Christian.’
So far, no extensive research has been conducted on CCs in Slavic languages except Polish [1]. In Slovak, CCs have not received a great deal of attention. Accordingly, this study examines the various forms of CCs in a Slovak National Corpus (SNC) random sample of 500 tokens, showing that there is much more variety than has been acknowledged in the literature. Frequencies will be used to show that there are iconic structures, and it will be argued that there are construction-specific properties that suggest the existence of a specific CC construction in Slovak.
Analysis of Verbal Prepositional “of” Structures
Authors: Hudcovičová Marianna 
Published: December 2019

Abstract
The article presents empirical research of verbal prepositional “of“ structures, grammatical collocations of the verb and the preposition OF. The preposition OF belongs among the most frequent prepositions in the English language. The study is based on comparisons of English and Czech sentences containing verbs and prepositions that are followed by the object. Material was taken from the electronic data bank Prague Czech-English Dependency Treebank 2.0. The structures were examined and analyzed from morphological, syntactical and semantic points of view. The aim of the study is to create English-Czech verbal prepositional counterparts; to create verbal prepositional groups on the grounds of the similar semantic, syntactic features; to identify the features that are the same for each verb group and generalize them; to identify trends and tendencies for verbs when they collocate with a certain preposition. The findings are presented in several charts and tables.
In which Clause do Subordinate Conjunctions Prosodically Belong?
Authors: Komrsková Zuzana , Poukarová Petra 
Published: December 2019

Abstract
This paper deals with the position of three Czech subordinating conjunctions že ’that’, když ‘when’, and až ‘when’ within the prosodic word, using the phonetic annotation in the ORTOFON corpus. The position of subordinating conjunctions is traditionally described as initial within the subordinate clause, but the situation in spontaneous speech is not so clear. This paper shows the functional differences between the various positions within the prosodic word and presents the words which are most frequently combined with the selected conjunctions.
Russian Indefinite Pronoun kakoj-libo: Non-Standard Usage and Changes in the Semantics
Authors: Kuvshinskaya Yulia 
Published: December 2019

Abstract
The paper deals with meaning and use of an indefinite pronoun kakojlibo ‘any/some’ in the modern Russian language. Research based on corpus data revealed non-standard usage of the pronoun kakoj-libo ‘any/some’. The paper describes main types of the deviations and evaluates their pragmatic and semantic effect. Finally, tendencies of the change in semantics and use of these pronouns are characterized.
Analysis of the Lemma Mateřství (Motherhood)
Authors: Černá Zuzana , Čech Radek 
Published: December 2019

Abstract
The paper presents results of analysis of the lemma mateřství ‘motherhood’. The authors applied methods of corpus linguistics and discourse analysis – the corpus assisted discourse studies approach – in order to survey representations of the lemma in Czech journalistic texts published from 2010 to 2014, sorted the results into discourse categories on the basis of collocation and concordance analysis, and found out that chief referential discourse-of-motherhood categories were surrogate motherhood, relationship of motherhood and career, delight from motherhood, family relationships, financial and time aspects of motherhood, changes brought by motherhood, and active motherhood. Surrogate motherhood was presented as a solution to women who cannot have a baby themselves, nevertheless also as a complicated issue, in which case emphasis was put on relevant legislation. Motherhood was presented as a danger for a woman’s career, however also as a source of joy, an essential relationship within a family, a right for financial support from the state, a life change, an activity, and an entity closely connected to time factors.
Wackernagel’s Position and Contact Position of Pronominal Enclitics in Older Czech. Competition or Cooperation?
Authors: Čech Radek , Kosek Pavel , Navrátilová Olga , Mačutek Ján 
Published: December 2019

Abstract
The paper focuses on analyzing the relationship among word order positions of pronominal enclitics in the history of Czech. Specifically, we look at the Wackernagel’s position and the contact position and we try to decide whether these two positions compete, as usually taken for granted, or whether there is a certain kind of cooperation between them. The results show that the positions do not compete, at least not in the majority of cases. We used a corpus-based on selected books of the first edition of the Old Czech Bible and Kralice Bible for the analysis.
Frequency Dictionary of 16th Century Cyrillic Written Monument
Authors: Nika Oksana , Hrytsyna Svitlana 
Published: December 2019

Abstract
The article presents the algorithm of the frequency dictionary to an original ancient text, “Otpys” (“Response”) by Kliryk Ostrozkyi (the Cleric of Ostroh) of the late 16th century. Until now, no historical corpus of text of the Ukrainian language has been created; therefore the drafting of metagraphical texts with their subsequent processing in accordance with linguistic tasks can fill this gap. The peculiarity of creating a frequency dictionary based on one written monument is in using the model of frequency dictionaries and describing the specifics of processing the ancient text. These specifics is based on a deep understanding of the state of language in the end of the 16th century and consists in the unification of graphic and spelling variants, as well as in the formation of stems and lemmas. Work results are presented in the form of a Frequency Dictionary of Word Forms of “Otpys” by Kliryk Ostrozkyi according to the frequency decrease and a Frequency Dictionary of “Otpys” by Kliryk Ostrozkyi according to the frequency decrease.
Gender-Specific Adjectives in Czech Newspapers and Magazines
Authors: Zasina Adrian Jan 
Published: December 2019

Abstract
This study is one of the few studies dealing with gender in the Czech language using corpus methods. It focuses on the issue of gender in Czech journalistic texts from the years 2010–2014. The main goal was to investigate the extent of stereotypical images of men and women in the press. This analysis is based on adjectival collocations of the lexemes muž ‘man’ and žena ‘woman’ and their semantic categorization. The research uses a journalistic part of the SYN2015 corpus. First, gender-specific adjectival collocates were identified. Second, adjectival collocates were classified into semantic categories and analyzed within journalistic genres. This study has shown that certain adjectives tend to co-occur with one of the examined lexemes and project a gender-stereotypical image of men and women within particular journalistic genres. It was confirmed that men are strongly associated with age specification, strength, appearance, and negative situations as a subject of crime, whereas women are related to motherhood, attractiveness, ethnicity, nationality, and are more often seen as victims of crime.
Relevant Criteria for Selection of Spoken Data: Theory Meets Practice
Authors: Kopřivová Marie , Komrsková Zuzana , Poukarová Petra , Lukeš David 
Published: December 2019

Abstract
The present paper seeks to review relevant criteria used in classifying speech events (SEs) from the perspective of spoken corpus design. The primary goal is to survey the landscape of possible types of spoken language, so as to assess in which directions the coverage of spoken Czech offered by Czech National Corpus corpora can be expanded in the future. We approach the problem from both theoretical and practical points of view, examining what the theoretical literature has to say as well as approaches implemented in practice by existing spoken corpora of various languages. We then synthesize the obtained information into a pragmatically motivated set of SE classification criteria which does not aspire to be universal or definitive but aims to serve as a useful guiding principle and conceptual framework for understanding and promoting SE diversity when collecting spoken data.
Annotations in the Corpus of Texts of Students Learning Slovak as a Foreign Language (ERRKORP)
Authors: Mošaťová Michaela , Gajdošová Katarína 
Published: December 2019

Abstract
The article presents the upcoming acquisition corpus of written texts of students learning Slovak as a Foreign Language and focuses on the annotation of texts, which includes information about the text as well as social and linguistic details about the student. The article also discusses the tags that identify individual errors in the texts and concept of creating the tagset itself.
Modifications of the Czech Morphological Dictionary for Consistent Corpus Annotation
Authors: Hlaváčová Jaroslava , Mikulová Marie , Štěpánková Barbora , Hajič Jan 
Published: December 2019

Abstract
We describe systematic changes that have been made to the Czech morphological dictionary related to annotating new data within the project of Prague Dependency Treebank (PDT). We bring new solutions to several complicated morphological features that occur in Czech texts. We introduced two new parts of speech, namely foreign word and segment. We adopted new principles for morphological analysis of global and inflectional variants, homonymous lemmas, abbreviations and aggregates. The changes were initiated by the need of consistency between the data and the dictionary and of the dictionary itself.
Levels of Annotation in the Slovene Training Corpus ssj500k 2.2
Authors: Bon Mija , Gantar Polona 
Published: December 2019

Abstract
This paper presents the Slovene Training Corpus ssj500k 2.2, which has been annotated on the levels of tokenization, sentence segmentation, part-of-speech tagging, lemmatization, syntactic dependencies, named entities, verbal multi-word expressions, and semantic role labeling. It describes the individual layers of annotation and shows the scope of using the training corpus in the production of various lexicons, such as the lexicon of multi-word units and the valency lexicon of modern Slovene. It concludes by presenting our future work, i.e. the annotation of multi-word expressions based on the Slovene Lexical Database.
Meaning and Semantic Roles in CzEngClass Lexicon
Authors: Urešová Zdeňka , Fučíková Eva , Hajičová Eva , Hajič Jan 
Published: December 2019

Abstract
This paper focuses on Semantic Roles, an important component of studies in lexical semantics, as they are captured as part of a bilingual (Czech-English) synonym lexicon called CzEngClass. This lexicon builds upon the existing valency lexicons included within the framework of the annotation of the various Prague Dependency Treebanks. The present analysis of Semantic Roles is being approached from the Functional Generative Description point of view and supported by the textual evidence taken specifically from the Prague Czech-English Dependency Treebank.
Introducing Semantic Labels into the DeriNet Network
Authors: Ševčíková Magda , Kyjánek Lukáš 
Published: December 2019

Abstract
The paper describes a semi-automatic procedure introducing semantic labels into the DeriNet network, which is a large, freely available resource modeling derivational relations in the lexicon of Czech. The data were assigned labels corresponding to five semantic categories (diminutives, possessives, female nouns, iteratives, and aspectual meanings) by a machine learning model, which achieved excellent results in terms of both precision and recall.
Processing of Derivational Features for (Semi)Automatic Creation of Dictionary Definitions in the User Interface (CZEDD) for Learning Czech as a Second Language: Suffix -tel and -ista
Authors: Citterberg Erik , Válková Adriana 
Published: December 2019

Abstract
This work-in-progress paper presents the tool CZEDD which enables the user to learn how to predict the meaning of words. The CZEDD consists of (semi) automatic definitions for derived words because a lot of these words have predictable lexical meaning. The tool will be intended for foreigners who learn the Czech language and it could be useful as a dictionary and/or translator in which the definitions based on the word’s structure are stored. Two detailed case examples (the suffix -tel, and the suffix -ista) illustrate the approach.
Conception and Development of an Open Database System on Historical Multilingualism in Austria
Authors: Prochazka Katharina , Breuer Ludwig Maximilian , Kim Agnes 
Published: December 2019

Abstract
This paper discusses the development and structure of an online information system, which aims to gather and visualize data on historical multilingualism in Austria (German: historische Mehrsprachigkeit in Österreich, short: MiÖ), with a particular focus on Slavic languages. The database tracks the development of multilingualism over time, its distribution in space and its representation in literature, therefore allowing to examine its dynamics and change. As an example, we investigate the area of the so-called Marchfeld (č./sk. Moravské pole). The paper further discusses how the database is embedded into the collaborative research platform of the Special Research Program “German in Austria (DiÖ)” as well as its technical realization and the possibility to include data from other related research projects.
On Possibilities and Methods of Analysis of Thematic Expressions in Spoken Texts
Authors: Pořízka Petr 
Published: December 2019

Abstract
The treatise focuses on mutual comparison of three methods of detection of prominent text units (prominent in relation to the contents of the text). The methods are: 1) analysis of key words based on comparison of source and referential corpora, 2) thematic concentration and h-point, and 3) the TF*IDF method. We try to thematize their pros and cons and, using the results of the carried out analyses, propose the optimal method for the extraction of thematic words from the spoken texts the frequency structure of which differs distinctly from the frequency structure of written texts.
Identification of Spontaneous Spoken Texts in Slovak
Authors: Sabo Róbert , Krammer Peter , Mojžiš Ján , Kvassay Marcel 
Published: December 2019

Abstract
We propose a text classification method for the purpose of creating a language model for automatic recognition of spontaneous spoken speech. Transcripts from our departmental speech database served as spontaneous spoken texts. Using supervised machine learning methods, we have created multiple classification models (including neural networks), that were able to distinguish them from written texts with high accuracy. We subsequently verified the accuracy of our trained models on a database of texts containing direct speech extracted from newspaper articles.
Affordable Annotation of the Mobile App Reviews
Authors: Grác Marek , Masopustová Markéta , Valíčková Marie 
Published: December 2019

Abstract
This paper focuses on the use-case study of the annotation of the mobile app reviews from Google Play and Apple Store. These annotations of sentiment polarity were created for later use in the automatic processing based on machine learning. This should solve some of the problems encountered in the previous analyses of the Czech language where data assumptions play a greater role than annotation itself (due to the financial constraints). Our proposal shows that some of the assumptions used for English do not apply to Czech and that it is possible to annotate such data without extensive financing.