Ovaj se pregledni rad bavi modalnošću u hrvatskom jeziku, s posebnim naglaskom na hrvatske modalne glagole, a obrađuje različite recentne teme koje zauzimaju važno mjesto u istraživanjima modalnosti. Rad prikazuje različite pristupe modalnosti u hrvatskoj literaturi kao i neka od najvažnijih pitanja u istraživanjima modalnosti te njihov značaj za hrvatski jezik. Teme kojima se rad bavi uključuju glavne značenjske karakteristike modalnih glagola, kao što su modalna snaga i značenje, sintaksu modalnih glagola te slojevite modalne strukture. Rad zaključuje promišljanje o mogućim budućim istraživačkim temama u području modalnosti u hrvatskom jeziku.
{"title":"Modalnost u hrvatskom jeziku","authors":"Ana Werkmann Horvat","doi":"10.31724/rihjj.49.1.3","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.3","url":null,"abstract":"Ovaj se pregledni rad bavi modalnošću u hrvatskom jeziku, s posebnim naglaskom na hrvatske modalne glagole, a obrađuje različite recentne teme koje zauzimaju važno mjesto u istraživanjima modalnosti. Rad prikazuje različite pristupe modalnosti u hrvatskoj literaturi kao i neka od najvažnijih pitanja u istraživanjima modalnosti te njihov značaj za hrvatski jezik. Teme kojima se rad bavi uključuju glavne značenjske karakteristike modalnih glagola, kao što su modalna snaga i značenje, sintaksu modalnih glagola te slojevite modalne strukture. Rad zaključuje promišljanje o mogućim budućim istraživačkim temama u području modalnosti u hrvatskom jeziku.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"48 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83502276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U radu se proučavaju hrvatsko-engleski jezični dodiri s motrišta hrvatskoga kao jezika davaoca. Istražuje se status kroatizama u dvama engleskim rječnicima, Oxford English Dictionary i Merriam-Webster Unabridged, te u jednom leksikonu krške fenomenologije. Iz toga je korpusa ukupno prikupljeno trideset i devet kroatizama. Raščlanjuje ih se prema obliku jezičnoga posuđivanja te s obzirom na vremensku raslojenost leksema i potom grupira prema semantičkim poljima. Raspravlja se o uočenim nedosljednostima u vezi s podrijetlom pojedinih leksema u navedenim rječnicima. Ukazuje se na pojedina slovopisna i morfološka obilježja karakteristična za model koja je replika zadržala. Razdoblje posuđivanja iz hrvatskoga u engleski omeđuje se i vremenski.
{"title":"Croatian Elements in English Dictionaries","authors":"Anđela Milinović Hrga, Siniša Ninčević","doi":"10.31724/rihjj.49.1.2","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.2","url":null,"abstract":"U radu se proučavaju hrvatsko-engleski jezični dodiri s motrišta hrvatskoga kao jezika davaoca. Istražuje se status kroatizama u dvama engleskim rječnicima, Oxford English Dictionary i Merriam-Webster Unabridged, te u jednom leksikonu krške fenomenologije. Iz toga je korpusa ukupno prikupljeno trideset i devet kroatizama. Raščlanjuje ih se prema obliku jezičnoga posuđivanja te s obzirom na vremensku raslojenost leksema i potom grupira prema semantičkim poljima. Raspravlja se o uočenim nedosljednostima u vezi s podrijetlom pojedinih leksema u navedenim rječnicima. Ukazuje se na pojedina slovopisna i morfološka obilježja karakteristična za model koja je replika zadržala. Razdoblje posuđivanja iz hrvatskoga u engleski omeđuje se i vremenski.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"62 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86469391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marija Brkić Bakarić, L. Načinović Prskalo, M. Matetić
Collocations have been the subject of much scientific research over the years. The focus of this research is on a subset of collocations, namely metaphorical collocations. In metaphorical collocations, a semantic shift has taken place in one of the components, i.e., one of the components takes on a transferred meaning. The main goal of this paper is to review the existing literature and provide a systematic overview of the existing research on collocation extraction, as well as the overview of existing methods, measures, and resources. The existing research is classified according to the approach (statistical, hybrid, and distributional semantics) and presented in three separate sections. The insights gained from existing research serve as a first step in exploring the possibility of developing a method for automatic extraction of metaphorical collocations. The methods, tools, and resources that may prove useful for future work are highlighted.
{"title":"Insights Into Automatic Extraction of Metaphorical Collocations","authors":"Marija Brkić Bakarić, L. Načinović Prskalo, M. Matetić","doi":"10.31724/rihjj.49.1.1","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.1","url":null,"abstract":"Collocations have been the subject of much scientific research over the years. The focus of this research is on a subset of collocations, namely metaphorical collocations. In metaphorical collocations, a semantic shift has taken place in one of the components, i.e., one of the components takes on a transferred meaning. The main goal of this paper is to review the existing literature and provide a systematic overview of the existing research on collocation extraction, as well as the overview of existing methods, measures, and resources. The existing research is classified according to the approach (statistical, hybrid, and distributional semantics) and presented in three separate sections. The insights gained from existing research serve as a first step in exploring the possibility of developing a method for automatic extraction of metaphorical collocations. The methods, tools, and resources that may prove useful for future work are highlighted.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"43 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88909960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christian Chiarcos, Purificação Silvano, Mariana Damova, Giedre Valunaite Oleškeviciene, Chaya Liebeskind, Dimitar Trajanov, Ciprian-Octavian Truică, Elena-Simona Apostol, Anna Baczkowska
Linguistic Linked Open Data (LLOD) are technologies that provide a powerful instrument for representing and interpreting language phenomena on a web-scale. The main objective of this paper is to demonstrate how LLOD technologies can be applied to represent and annotate a corpus composed of multiword discourse markers, and what the effects of this are. In particular, it is our aim to apply semantic web standards such as RDF and OWL for publishing and integrating data. We present a novel scheme for discourse annotation that combines ISO standards describing discourse relations and dialogue acts – ISO DR-Core (ISO 24617-8) and ISO-Dialogue Acts (ISO 24617-2) in 9 languages (cf. Silvano and Damova 2022; Silvano, et al. 2022). We develop an OWL ontology to formalize that scheme, provide a newly annotated dataset and link its RDF edition with the ontology. Consequently, we describe the conjoint querying of the ontology and the annotations by means of SPARQL, the standard query language for the web of data. The ultimate result is that we are able to perform queries over multiple, interlinked datasets with complex internal structure. This is a first, but essential step, in developing novel, powerful, and groundbreaking means for the corpus-based study of multilingual discourse, communication analysis, or attitudes discovery.
语言关联开放数据(LLOD)是一种技术，它为在网络规模上表示和解释语言现象提供了强大的工具。本文的主要目的是演示如何应用LLOD技术来表示和注释由多词话语标记组成的语料库，以及这样做的效果。特别是，我们的目标是应用语义web标准，如RDF和OWL来发布和集成数据。我们提出了一种新的话语注释方案，该方案结合了描述话语关系和对话行为的ISO标准- ISO DR-Core (ISO 24617-8)和ISO-对话行为(ISO 24617-2)，支持9种语言(参见Silvano和Damova 2022;Silvano等人，2022)。我们开发了OWL本体来形式化该方案，提供了一个新的注释数据集，并将其RDF版本与本体链接起来。因此，我们使用数据网络的标准查询语言SPARQL描述了本体和注释的联合查询。最终的结果是，我们能够对具有复杂内部结构的多个相互关联的数据集执行查询。这是为基于语料库的多语言话语研究、交际分析或态度发现开发新颖、有力和开创性手段的第一步，但也是必不可少的一步。
{"title":"Izrada OWL ontologije za prikaz, povezivanje i pretraživanje SemAF diskursnih oznaka","authors":"Christian Chiarcos, Purificação Silvano, Mariana Damova, Giedre Valunaite Oleškeviciene, Chaya Liebeskind, Dimitar Trajanov, Ciprian-Octavian Truică, Elena-Simona Apostol, Anna Baczkowska","doi":"10.31724/rihjj.49.1.6","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.6","url":null,"abstract":"Linguistic Linked Open Data (LLOD) are technologies that provide a powerful instrument for representing and interpreting language phenomena on a web-scale. The main objective of this paper is to demonstrate how LLOD technologies can be applied to represent and annotate a corpus composed of multiword discourse markers, and what the effects of this are. In particular, it is our aim to apply semantic web standards such as RDF and OWL for publishing and integrating data. We present a novel scheme for discourse annotation that combines ISO standards describing discourse relations and dialogue acts – ISO DR-Core (ISO 24617-8) and ISO-Dialogue Acts (ISO 24617-2) in 9 languages (cf. Silvano and Damova 2022; Silvano, et al. 2022). We develop an OWL ontology to formalize that scheme, provide a newly annotated dataset and link its RDF edition with the ontology. Consequently, we describe the conjoint querying of the ontology and the annotations by means of SPARQL, the standard query language for the web of data. The ultimate result is that we are able to perform queries over multiple, interlinked datasets with complex internal structure. This is a first, but essential step, in developing novel, powerful, and groundbreaking means for the corpus-based study of multilingual discourse, communication analysis, or attitudes discovery.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135052362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Swear words represent an important social vehicle for human communication that beyond mere insults are conventionally used for social bonding and bantering among other functions. However, to the best of our knowledge, no systematic typology of swear word functions has been proposed. In this article, such a typology is proposed in a top-down manner drawing on literature as well as bottom-up by analysing a concrete corpus of real-world sufficiently vulgar dialogues. For this first case study, the analysis is limited to English and the analysis of subtitles of a single movie. We found that specific types of swear words, e.g. bodily functions, appear across functions with some preferences, e.g. body parts are particularly utilised in jocularity, criticism, and anger. Furthermore, resulting data are represented as linguistic linked data, extolling the virtues of this format for fine-grained linguistic analyses, e.g. filtering and visualising all swear words pertaining to a specific function.
{"title":"From Knobhead to Sex Goddess","authors":"Anna Bączkowska, Dagmar Gromann","doi":"10.31724/rihjj.49.1.4","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.4","url":null,"abstract":"Swear words represent an important social vehicle for human communication that beyond mere insults are conventionally used for social bonding and bantering among other functions. However, to the best of our knowledge, no systematic typology of swear word functions has been proposed. In this article, such a typology is proposed in a top-down manner drawing on literature as well as bottom-up by analysing a concrete corpus of real-world sufficiently vulgar dialogues. For this first case study, the analysis is limited to English and the analysis of subtitles of a single movie. We found that specific types of swear words, e.g. bodily functions, appear across functions with some preferences, e.g. body parts are particularly utilised in jocularity, criticism, and anger. Furthermore, resulting data are represented as linguistic linked data, extolling the virtues of this format for fine-grained linguistic analyses, e.g. filtering and visualising all swear words pertaining to a specific function.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With humor, which has long been known as a coping mechanism in extreme crises, punning memes, armed with words and images, have become weapons of ‘mass disruption’ influencing the hearts and minds of a target audience. This invites the examination of how memes detailing Russian-Ukrainian war employ verbo-visual puns as a strategic tool of information warfare to counter president Putin’s military aggression and misleading political messaging. This article1 proposes an interdisciplinary template for the analysis of puns drawing on multimodal social semiotics, cognitive linguistics, critical discourse analysis and crisis communication analysis. The data sampled for this research comprises 87 memes about Russian-Ukrainian war that employ verbo-visual puns with 6 cases described in this paper. The article proposes a taxonomy, in which verbo-visual puns can be classified in accordance with mechanisms that are used to classify wordplay (homonymy, polysemy, and paronymy). Evidence is thus provided to show that this typology is applicable to the taxonomy of multimodal signs as well. The results of this research reveal cognitive and semiotic triggers of puns as well as their potential to serve as a tool generating public reaction to Russia’s military aggression in Ukraine and reaching the intended goals of crisis communication.
{"title":"Jezično-vizualna igra riječi u memetičkom ratovanju protiv ruske agresije u Ukrajini","authors":"Maryna Bielova","doi":"10.31724/rihjj.49.1.5","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.5","url":null,"abstract":"With humor, which has long been known as a coping mechanism in extreme crises, punning memes, armed with words and images, have become weapons of ‘mass disruption’ influencing the hearts and minds of a target audience. This invites the examination of how memes detailing Russian-Ukrainian war employ verbo-visual puns as a strategic tool of information warfare to counter president Putin’s military aggression and misleading political messaging. This article1 proposes an interdisciplinary template for the analysis of puns drawing on multimodal social semiotics, cognitive linguistics, critical discourse analysis and crisis communication analysis. The data sampled for this research comprises 87 memes about Russian-Ukrainian war that employ verbo-visual puns with 6 cases described in this paper. The article proposes a taxonomy, in which verbo-visual puns can be classified in accordance with mechanisms that are used to classify wordplay (homonymy, polysemy, and paronymy). Evidence is thus provided to show that this typology is applicable to the taxonomy of multimodal signs as well. The results of this research reveal cognitive and semiotic triggers of puns as well as their potential to serve as a tool generating public reaction to Russia’s military aggression in Ukraine and reaching the intended goals of crisis communication.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"45 4 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82731083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Barbara Lewandowska-Tomaszczyk, Slavko Žitnik, Olga Dontcheva-Navratilova, Agnieszka Borowiak, Kristina Despot, Jelena Mitrović, Chaya Liebeskind, Giedre Valunaite Oleskevicienė, Anna Bączkowska, Paul A. Wilson, Marcin Trojszczak, Ivana Brač, Lobel Filipić, Ana Ostroški Anić
The present paper focuses on the presentation and discussion of aspects of OFFENSIVE LANGUAGE linguistic annotation, including the creation, annotation practice, curation, and evaluation of an OFFENSIVE LANGUAGE annotation taxonomy scheme, that was first proposed in Lewandowska-Tomaszczyk et al. (2021). An extended offensive language ontology comprising 17 categories, structured in terms of 4 hierarchical levels, has been shown to represent the encoding of the defined offensive language schema, trained in terms of non-contextual word embeddings – i.e., Word2Vec and Fast Text, and eventually juxtaposed to the data acquired by using a pair wise training and testing analysis for existing categories in the HateBERT model (Lewandowska-Tomaszczyk et al. submitted). The study reports on the annotation practice in WG 4.1.1. Incivility in media and social media in the context of COST Action CA 18209 European network for Web-centred linguistic data science (Nexus Linguarum) with the INCEpTION tool (https://github.com/inception-project/inception) – a semantic annotation platform offering assistance in the annotation. The results partly support the proposed ontology of explicit offense and positive implicitness types to provide more variance among widely recognized types of figurative language (e.g., metaphorical, metonymic, ironic, etc.). The use of the annotation system and the representation of linguistic data were also evaluated in a series of the annotators’ comments, by means of a questionnaire and an open discussion. The annotation results and the questionnaire showed that for some of the categories there was low or medium inter-annotator agreement, and it was more challenging for annotators to distinguish between category items than between aspect items, with the category items offensive , insulting and abusive being the most difficult in this respect. The need for taxonomic simplification measures on the basis of these results has been recognized for further annotation practices.
{"title":"Anotacijska shema i njezina evaluacija","authors":"Barbara Lewandowska-Tomaszczyk, Slavko Žitnik, Olga Dontcheva-Navratilova, Agnieszka Borowiak, Kristina Despot, Jelena Mitrović, Chaya Liebeskind, Giedre Valunaite Oleskevicienė, Anna Bączkowska, Paul A. Wilson, Marcin Trojszczak, Ivana Brač, Lobel Filipić, Ana Ostroški Anić","doi":"10.31724/rihjj.49.1.8","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.8","url":null,"abstract":"The present paper focuses on the presentation and discussion of aspects of OFFENSIVE LANGUAGE linguistic annotation, including the creation, annotation practice, curation, and evaluation of an OFFENSIVE LANGUAGE annotation taxonomy scheme, that was first proposed in Lewandowska-Tomaszczyk et al. (2021). An extended offensive language ontology comprising 17 categories, structured in terms of 4 hierarchical levels, has been shown to represent the encoding of the defined offensive language schema, trained in terms of non-contextual word embeddings – i.e., Word2Vec and Fast Text, and eventually juxtaposed to the data acquired by using a pair wise training and testing analysis for existing categories in the HateBERT model (Lewandowska-Tomaszczyk et al. submitted). The study reports on the annotation practice in WG 4.1.1. Incivility in media and social media in the context of COST Action CA 18209 European network for Web-centred linguistic data science (Nexus Linguarum) with the INCEpTION tool (https://github.com/inception-project/inception) – a semantic annotation platform offering assistance in the annotation. The results partly support the proposed ontology of explicit offense and positive implicitness types to provide more variance among widely recognized types of figurative language (e.g., metaphorical, metonymic, ironic, etc.). The use of the annotation system and the representation of linguistic data were also evaluated in a series of the annotators’ comments, by means of a questionnaire and an open discussion. The annotation results and the questionnaire showed that for some of the categories there was low or medium inter-annotator agreement, and it was more challenging for annotators to distinguish between category items than between aspect items, with the category items offensive , insulting and abusive being the most difficult in this respect. The need for taxonomic simplification measures on the basis of these results has been recognized for further annotation practices.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mind mapping is a teaching and learning technique which helps to visualize interrelated ideas that branch out from a central concept. With education becoming increasingly technologically focused, educators and learners rely more often on the affordances of Web-based mind maps. This review of research aims at presenting the current landscape of using Web-based mind mapping technologies and techniques for teaching and learning ESL and ESP in higher education and provides useful insights for both practitioners and researchers within the field.
{"title":"The Use of Web-Based Mind Mapping Tools in the Studies of ESL and ESP in Higher Education","authors":"Eglė Selevičienė","doi":"10.31724/rihjj.49.1.9","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.9","url":null,"abstract":"Mind mapping is a teaching and learning technique which helps to visualize interrelated ideas that branch out from a central concept. With education becoming increasingly technologically focused, educators and learners rely more often on the affordances of Web-based mind maps. This review of research aims at presenting the current landscape of using Web-based mind mapping technologies and techniques for teaching and learning ESL and ESP in higher education and provides useful insights for both practitioners and researchers within the field.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136368278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents theory-based model explanations of meaning and compares them with the explanations of meaning presented in the Dictionary of the Slovenian Standard Language, third edition, and the Dictionary of Proverbs and Similar Paremiological Expressions – the paremiological dictionary of contemporary Slovenian. The making of model explanations of meaning is connected particularly with a desire to help lexicographers to present the meanings of paremiological expressions as uniformly as possible. The article discusses the scope of paremiological genres included in both dictionaries, describes the theoretical basis for the making of the model explanations of the meaning, and presents concrete examples of the explanations of meaning for expressions belonging to seven paremiological genres and certain subgenres.
{"title":"Explanations of Meaning for Paremiological Genres in the eSSKJ and SPP Dictionaries","authors":"Matej Meterc","doi":"10.31724/rihjj.48.2.5","DOIUrl":"https://doi.org/10.31724/rihjj.48.2.5","url":null,"abstract":"This article presents theory-based model explanations of meaning and compares them with the explanations of meaning presented in the Dictionary of the Slovenian Standard Language, third edition, and the Dictionary of Proverbs and Similar Paremiological Expressions – the paremiological dictionary of contemporary Slovenian. The making of model explanations of meaning is connected particularly with a desire to help lexicographers to present the meanings of paremiological expressions as uniformly as possible. The article discusses the scope of paremiological genres included in both dictionaries, describes the theoretical basis for the making of the model explanations of the meaning, and presents concrete examples of the explanations of meaning for expressions belonging to seven paremiological genres and certain subgenres.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"1 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84066103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Penny Labropoulou, David Lindemann, Christiane Klaes, Katerina Gkirtzou
This paper presents LexMeta, a metadata model for the description of lexical resources, such as dictionaries, word lists, glossaries, etc., to be used in language data catalogues mainly targeting the lexicographic and broader humanities communities but also users exploiting such resources in their research and applications. A comparative review of similar models is made in order to show the differences and commonalities with LexMeta. To enhance semantic interoperability and support the exchange of (meta)data across disciplinary and general catalogues, the most influential models for our purposes, namely FRBR (used in library catalogues) and META-SHARE (used for language resources), are selected as a base for the design of LexMeta. We discuss how these models are aligned and extended with new properties as required for the description of lexical resources. The formal representation of the model following the Linked Data paradigm aims to further enhance the semantic interoperability. The choice to implement it in two formats (as an RDF/OWL and as a Wikibase ontology) facilitates its adoption and hence its enrichment, yet poses challenges as to their synchronisation, which are addressed through automatic workflows. We conclude with ongoing and planned activities for the improvement of the model.
{"title":"LexMeta model za leksičke resurse","authors":"Penny Labropoulou, David Lindemann, Christiane Klaes, Katerina Gkirtzou","doi":"10.31724/rihjj.49.1.7","DOIUrl":"https://doi.org/10.31724/rihjj.49.1.7","url":null,"abstract":"This paper presents LexMeta, a metadata model for the description of lexical resources, such as dictionaries, word lists, glossaries, etc., to be used in language data catalogues mainly targeting the lexicographic and broader humanities communities but also users exploiting such resources in their research and applications. A comparative review of similar models is made in order to show the differences and commonalities with LexMeta. To enhance semantic interoperability and support the exchange of (meta)data across disciplinary and general catalogues, the most influential models for our purposes, namely FRBR (used in library catalogues) and META-SHARE (used for language resources), are selected as a base for the design of LexMeta. We discuss how these models are aligned and extended with new properties as required for the description of lexical resources. The formal representation of the model following the Linked Data paradigm aims to further enhance the semantic interoperability. The choice to implement it in two formats (as an RDF/OWL and as a Wikibase ontology) facilitates its adoption and hence its enrichment, yet poses challenges as to their synchronisation, which are addressed through automatic workflows. We conclude with ongoing and planned activities for the improvement of the model.","PeriodicalId":51986,"journal":{"name":"Rasprave","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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