TY - JOUR AU - Szabó-Műhelyi, Viktória AU - Szabó, Pál Tamás AU - Schmahmann, Jeremy D. AU - Káldi, Tamás AU - Bánréti, Zoltán AU - Béres-Molnár, Katalin Anna AU - Folyovich, András TI - Hungarian adaptation of the cerebellar cognitive affective/Schmahmann Syndrome Scale JF - APPLIED NEUROPSYCHOLOGY-ADULT J2 - APPL NEUROPSYCH-ADUL VL - 2024 PY - 2024 SP - 1 EP - 9 PG - 9 SN - 2327-9095 DO - 10.1080/23279095.2024.2341815 UR - https://m2.mtmt.hu/api/publication/34799247 ID - 34799247 LA - English DB - MTMT ER - TY - CONF AU - Gocsál, Ákos AU - Partos, Dorka TI - Beszéddallamok szemléltetésének és manipulálásának lehetőségei a magyar nyelv tanításában T2 - Találkozások az anyanyelvi nevelésben 5. Régi témák, új nézőpontok a nyelvészetben és a nyelvi nevelésben: Absztraktkötet PB - Pécsi Tudományegyetem Bölcsészettudományi Kar (PTE BTK) Nyelvtudományi Tanszék C1 - Pécs PY - 2024 SP - 10 UR - https://m2.mtmt.hu/api/publication/34774850 ID - 34774850 LA - Hungarian DB - MTMT ER - TY - CONF AU - Gocsál, Ákos AU - Tadayyon, Chahartaq Nafiseh TI - The Role of Different Intonation Contours in Social Perception T2 - Encounters In/among Language, Literature, And Arts PB - Sapientia Hungarian University of Transylvania C1 - Cluj-Napoca PY - 2024 SP - 14 UR - https://m2.mtmt.hu/api/publication/34757575 ID - 34757575 LA - English DB - MTMT ER - TY - CHAP AU - Zúñiga, Fernando AU - Arkadiev, Peter AU - Hegedűs, Veronika ED - Creissels, Denis ED - Zuniga, Fernando TI - Applicativizing preverbs in selected European languages T2 - Applicative Constructions in the World’s Languages PB - De Gruyter CY - Berlin SN - 9783110730951 PY - 2024 SP - 419 EP - 472 PG - 54 DO - 10.1515/9783110730951-014 UR - https://m2.mtmt.hu/api/publication/34743293 ID - 34743293 LA - English DB - MTMT ER - TY - CONF AU - Harmati-Pap, Veronika AU - Balázs, Andrea AU - Lakatos, Krisztina AU - Tóth, Ildikó AU - Vadász, Noémi AU - Kas, Bence TI - Patterns of Maternal Infant Directed Speech related to Infants' Sex, Temperament and Language Skills T2 - BCCCD 2024 Budapest CEU Conference on Cognitive Development C1 - Budapest PY - 2024 SP - 1 UR - https://m2.mtmt.hu/api/publication/34685549 ID - 34685549 LA - English DB - MTMT ER - TY - JOUR AU - Huszár, Anna Laura AU - Vadász, Noémi TI - Kicsi kecskék és kutyácskák?. Egy moldvai nyelvjárási korpusz építésének műhelytitkai TS - Egy moldvai nyelvjárási korpusz építésének műhelytitkai JF - ÉDES ANYANYELVÜNK J2 - ÉDES ANYANYELVÜNK VL - 46 PY - 2024 IS - 1 SP - 16 EP - 18 PG - 3 SN - 0139-0457 UR - https://m2.mtmt.hu/api/publication/34561598 ID - 34561598 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Felletár, Fanni AU - Yang, Zijian Győző AU - Babarczy, Anna ED - Berend, Gábor ED - Gosztolya, Gábor ED - Vincze, Veronika TI - Az egészség jele a szöveg EGÉSZsége? - Szövegkoherencia borderline személyiségzavarban T2 - XX. Magyar Számítógépes Nyelvészeti Konferencia PB - Szegedi Tudományegyetem CY - online kiadás SN - 9789633069738 PY - 2024 SP - 201 EP - 214 PG - 14 UR - https://m2.mtmt.hu/api/publication/34560795 ID - 34560795 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Molnár, Cecília Sarolta AU - Fejes, László ED - Kulcsár-Szabó, Zoltán ED - Simon, Gábor ED - Tátrai, Szilárd TI - Nocsak, ki beszél? Beszélő- és perspektívaváltások dalszövegekben T2 - Személyjelölés és poétika PB - ELTE Eötvös József Collegium CY - Budapest SN - 9786155897627 T3 - DIAGram Könyvek ; 7.. PY - 2024 SP - 393 EP - 414 PG - 22 UR - https://m2.mtmt.hu/api/publication/34558139 ID - 34558139 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fejes, László AU - Molnár, Cecília Sarolta ED - Kulcsár-Szabó, Zoltán ED - Simon, Gábor ED - Tátrai, Szilárd TI - Ki kicsoda? Személyes játékok dalszövegekben T2 - Személyjelölés és poétika PB - ELTE Eötvös József Collegium CY - Budapest SN - 9786155897627 T3 - DIAGram Könyvek ; 7.. PY - 2024 SP - 361 EP - 392 PG - 32 UR - https://m2.mtmt.hu/api/publication/34558137 ID - 34558137 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Krepsz, Valéria AU - Horváth, Viktória AU - Huszár, Anna AU - Neuberger, Tilda AU - Gyarmathy, Dorottya TI - ‘Should we laugh?’ Acoustic features of (in)voluntary laughters in spontaneous conversations JF - COGNITIVE PROCESSING J2 - COGNIT PROCESS VL - 25 PY - 2024 SP - 89 EP - 106 PG - 18 SN - 1612-4782 DO - 10.1007/s10339-023-01168-8 UR - https://m2.mtmt.hu/api/publication/34410029 ID - 34410029 AB - Laughter is one of the most common non-verbal features; however, contrary to the previous assumptions, it may also act as signals of bonding, affection, emotional regulation agreement or empathy (Scott et al. Trends Cogn Sci 18:618–620, 2014). Although previous research agrees that laughter does not form a uniform group in many respects, different types of laughter have been defined differently by individual research. Due to the various definitions of laughter, as well as their different methodologies, the results of the previous examinations were often contradictory. The analysed laughs were often recorded in controlled, artificial situations; however, less is known about laughs from social conversations. Thus, the aim of the present study is to examine the acoustic realisation, as well as the automatic classification of laughter that appear in human interactions according to whether listeners consider them to be voluntary or involuntary. The study consists of three parts using a multi-method approach. Firstly, in the perception task, participants had to decide whether the given laughter seemed to be rather involuntary or voluntary. In the second part of the experiment, those sound samples of laughter were analysed that were considered to be voluntary or involuntary by at least 66.6% of listeners. In the third part, all the sound samples were grouped into the two categories by an automatic classifier. The results showed that listeners were able to distinguish laughter extracted from spontaneous conversation into two different types, as well as the distinction was possible on the basis of the automatic classification. In addition, there were significant differences in acoustic parameters between the two groups of laughter. The results of the research showed that, although the distinction between voluntary and involuntary laughter categories appears based on the analysis of everyday, spontaneous conversations in terms of the perception and acoustic features, there is often an overlap in the acoustic features of voluntary and involuntary laughter. The results will enrich our previous knowledge of laughter and help to describe and explore the diversity of non-verbal vocalisations. LA - English DB - MTMT ER -