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Pregled bibliografske jedinice broj: 1122789

Data to Help us Form Images: The Abstract and Non- Imageable


Peti-Stantić, Anita
Data to Help us Form Images: The Abstract and Non- Imageable // NooJ 2020 Conference
online, 2020. (plenarno, međunarodna recenzija, pp prezentacija, znanstveni)


CROSBI ID: 1122789 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Data to Help us Form Images: The Abstract and Non- Imageable

Autori
Peti-Stantić, Anita

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni

Skup
NooJ 2020 Conference

Mjesto i datum
Online, 06.06.2020

Vrsta sudjelovanja
Plenarno

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Croatian Psycholinguistic Database, concreteness, imagaeability, word class

Sažetak
When we say ‘a chair’ or ‘a dog’, we instantly and unconsciously imagine the picture of (a) dog or (a) chair. This does not happen when we say ‘peace’ or ‘experience’. Since numerous psycholinguistic and neurolinguistic studies, as well as educational models, use words in order to measure latencies and the accuracy of word recognition, they have to somehow account for this difference in their properties. Core concepts laying behind these properties are concreteness and imageability. They are claimed to play a significant role in remembering, recognizing and understanding not only words, but the complexity of the language architecture as well. Since normed ratings are not readily available for understudied languages such as Croatian, I will present Croatian Psycholinguistic Database freely available at: https://doi.org/10.17234/megahr.2019.hpb. This normative database was constructed within the project funded by the Croatian National Foundation: The Building Blocks of Croatian Mental Grammar: Constraints of Information Structure (Peti-Stantić et al. 2018). The database contains empirically established norms for the categories of concreteness, imageability, subjective frequency and age of acquisition for 6000 lexemes of Croatian words excerpted from the hrWaC web corpus of Croatian (Ljubešić & Klubička, 2016) by combining the hrLex inflectional lexicon with objective word frequencies from hrWac. The objective characteristics of each word are also coded, i.e., word length in number of characters, word class (noun, verb, adjective, and adverb), animacy and gender for nouns, and raw frequency in the hrWaC corpus. The ratings were collected in two experiments with 3, 000 words tested in each (Peti- Stantić et al. in print). A total of 3, 630 questionnaires were completed by the native speakers of Croatian, while every word was rated by an average of 30 participants. Analyses replicate the correlations reported in the literature, whereby words rated as more concrete are more highly imageable, shorter, acquired earlier and rated as more subjectively frequent. Differences in concreteness, imageability, subjective frequency and age of acquisition are reported amongst nouns, verbs, adjectives and adverbs. I will discuss the data collected and differences between word classes from the perspective of constructional cognitive linguistic theories. I will also show the applicability of the database for researchers and practitioners.

Izvorni jezik
Engleski

Znanstvena područja
Filologija, Interdisciplinarne humanističke znanosti, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)



POVEZANOST RADA


Projekti:
IP-2016-06-1210 - Modeliranje mentalne gramatike hrvatskoga: ograničenja informacijske strukture (MEGAHR/MEGACRO) (Peti-Stantić, Anita, HRZZ - 2016-06) ( POIROT)

Ustanove:
Filozofski fakultet, Zagreb

Profili:

Avatar Url Anita Peti-Stantić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Peti-Stantić, Anita
Data to Help us Form Images: The Abstract and Non- Imageable // NooJ 2020 Conference
online, 2020. (plenarno, međunarodna recenzija, pp prezentacija, znanstveni)
Peti-Stantić, A. (2020) Data to Help us Form Images: The Abstract and Non- Imageable. U: NooJ 2020 Conference.
@article{article, author = {Peti-Stanti\'{c}, Anita}, year = {2020}, keywords = {Croatian Psycholinguistic Database, concreteness, imagaeability, word class}, title = {Data to Help us Form Images: The Abstract and Non- Imageable}, keyword = {Croatian Psycholinguistic Database, concreteness, imagaeability, word class}, publisherplace = {online} }
@article{article, author = {Peti-Stanti\'{c}, Anita}, year = {2020}, keywords = {Croatian Psycholinguistic Database, concreteness, imagaeability, word class}, title = {Data to Help us Form Images: The Abstract and Non- Imageable}, keyword = {Croatian Psycholinguistic Database, concreteness, imagaeability, word class}, publisherplace = {online} }




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