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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7...10 Hits 41 – 60 of 191 41 SimLex-999 Slovenian translation SimLex-999-sl 1.0 Pollak, Senja; Vulić, Ivan; Pelicon, Andraž. - : University of Ljubljana, 2021 BASE Show details 42 The Croatian psycholinguistic database: Estimates for 6000 nouns, verbs, adjectives and adverbs Stanojević, Mateusz-Milan; Willer-Gold, Jana; Keresteš, Gordana; Ljubešić, Nikola; Masnikosa, Irina; Tonković, Mirjana; Anđel, Maja; Tušek, Jelena; Peti-Stantić, Anita; Gnjidić, Vedrana In: Behav Res Methods (2021) Abstract: Psycholinguistic databases containing ratings of concreteness, imageability, age of acquisition, and subjective frequency are used in psycholinguistic and neurolinguistic studies which require words as stimuli. Linguistic characteristics (e.g. word length, corpus frequency) are frequently coded, but word class is seldom systematically treated, although there are indications of its significance for imageability and concreteness. This paper presents the Croatian Psycholinguistic Database (CPD; available at: 10.17234/megahr.2019.hpb), containing 6000 Croatian nouns, verbs, adjectives and adverbs, rated for concreteness, imageability, age of acquisition, and subjective frequency. Moreover, we present computationally obtained extrapolations of concreteness and imageability to the remainder of the Croatian lexicon (available at: https://github.com/megahr/lexicon/blob/master/predictions/hr_c_i.predictions.txt). In the two studies presented here, we explore the significance of word class for concreteness and imageability in human and computationally obtained ratings. The observed correlations in the CPD indicate correspondences between psycholinguistic measures expected from the literature. Word classes exhibit differences in subjective frequency, age of acquisition, concreteness and imageability, with significant differences between nouns, verbs, adjectives and adverbs. In the computational study which focused on concreteness and imageability, concreteness obtained higher correlations with human ratings than imageability, and the system underpredicted the concreteness of nouns, and overpredicted the concreteness of adjectives and adverbs. Overall, this suggests that word class contains schematic conceptual and distributional information. Schematic conceptual content seems to be more significant in human ratings of concreteness and less significant in computationally obtained ratings, where distributional information seems to play a more significant role. This suggests that word class differences should be theoretically explored. Keyword: Article URL: https://doi.org/10.3758/s13428-020-01533-x http://www.ncbi.nlm.nih.gov/pubmed/33904142 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367916/ BASE Hide details 43 The KAS corpus of Slovenian academic writing [<Journal>] Erjavec, Tomaž [Verfasser]; Fišer, Darja [Verfasser]; Ljubešić, Nikola [Verfasser] DNB Subject Category Language Show details 44 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 45 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 46 The CLASSLA-StanfordNLP model for lemmatisation of standard Macedonian 1.0 Ljubešić, Nikola; Zdravkova, Katerina; Erjavec, Tomaž. - : Jožef Stefan Institute, 2020 BASE Show details 47 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Macedonian 1.0 Ljubešić, Nikola; Zdravkova, Katerina; Stojanoska, Sanja. - : Jožef Stefan Institute, 2020 BASE Show details 48 Semantic hypergraph corpus SemCRO 1.0 Vasić, Daniel; Žitko, Branko; Gašpar, Angelina. - : University of Mostar, 2020. : University of Split, 2020. : Jožef Stefan Institute, 2020 BASE Show details 49 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Serbian 1.1 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 50 The CLASSLA-StanfordNLP model for JOS dependency parsing of standard Slovenian 1.0 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 51 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Croatian 1.1 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 52 Multilingual comparable corpora of parliamentary debates ParlaMint 1.0 Erjavec, Tomaž; Grigorova, Vladislava; Ljubešić, Nikola. - : CLARIN ERIC, 2020 BASE Show details 53 Word embeddings CLARIN.SI-embed.mk 0.1 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 54 The CLASSLA-StanfordNLP model for named entity recognition of standard Slovenian 1.0 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 55 The CLASSLA-StanfordNLP model for named entity recognition of non-standard Croatian 1.0 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 56 The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.1 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 57 The CLASSLA-StanfordNLP model for named entity recognition of standard Croatian 1.0 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 58 The CLASSLA-StanfordNLP model for lemmatisation of standard Serbian 1.2 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 59 The CLASSLA-StanfordNLP model for lemmatisation of standard Serbian 1.1 Ljubešić, Nikola. - : Jožef Stefan Institute, 2020 BASE Show details 60 The CLASSLA-StanfordNLP model for lemmatisation of non-standard Serbian 1.1 Ljubešić, Nikola; Štefanec, Vanja. - : Jožef Stefan Institute, 2020 BASE Show details Page: 1 2 3 4 5 6 7...10

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