HAPPINESS IN THE CELEBRATION OF CHINESE NEW YEAR

Hermina Sutami

doi:10.37301/culingua.v2i1.13

HAPPINESS IN THE CELEBRATION OF CHINESE NEW YEAR

Journal of Cultura and Lingua ◽

10.37301/culingua.v2i1.13 ◽

2021 ◽

Vol 2 (1) ◽

pp. 1-8

Author(s):

Hermina Sutami

Keyword(s):

Emotional Content ◽

Family Education ◽

Express Emotion ◽

Language Data

Gong xi facai is a Chinese New Year greeting that is commonly spoken, heard, and written by people. Even if we don't know what it means, we guess the meaning must be good. The problem is what is the meaning of each word and the meaning of the sentence as a whole so that it can be concluded that the sentence is an expression of a joyful? Are there no other feelings? Since the sentence is considered a text, it will be examined which words express emotion, what kind of emotions they are. The goal is to express clearly what is meant by that sentence. To find out what kind of emotions it contains, Santangelo's theory (2000) will be used to detect which words express emotion and belong to which class. The data are Chinese Lunar New Year greetings written in Han characters. There is Indonesian-language data in the form of Chinese New Year pantun. Based on the analysis of the meaning components of emotions, the data are classified into several domains, such as Chinese New Year greeting, success in business, health, family, education, etc. The novelty of this research is to analyze the meaning components of emotional sentences so that emotional content can be identified precisely. This research will enrich research on emotions in the field of greetings for the Chinese New Year that has not been done much.

Download Full-text

Machine-Scored Syntax: Comparison of the CLAN Automatic Scoring Program to Manual Scoring

Language Speech and Hearing Services in Schools ◽

10.1044/2019_lshss-19-00056 ◽

2020 ◽

Vol 51 (2) ◽

pp. 479-493

Author(s):

Jenny A. Roberts ◽

Evelyn P. Altenberg ◽

Madison Hunter

Keyword(s):

Data Exchange ◽

Child Language ◽

Exchange System ◽

Absolute Point ◽

Language Analysis ◽

Search Patterns ◽

Language Data ◽

Report Accuracy ◽

Point To Point ◽

Automatic Scoring

Purpose The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method Twenty transcripts of 10 children from archival data of the Weismer Corpus from the Child Language Data Exchange System at 30 and 42 months were examined. Measures of absolute point difference and point-to-point accuracy were compared, as well as points erroneously given and missed. Two new measures for evaluating automatic scoring of the Index of Productive Syntax were introduced: Machine Item Accuracy (MIA) and Cascade Failure Rate— these measures further analyze points erroneously given and missed. Differences in total scores, subscale scores, and individual structures were also reported. Results Mean absolute point difference between machine and hand scoring was 3.65, point-to-point agreement was 72.6%, and MIA was 74.9%. There were large differences in subscales, with Noun Phrase and Verb Phrase subscales generally providing greater accuracy and agreement than Question/Negation and Sentence Structures subscales. There were significantly more erroneous than missed items in machine scoring, attributed to problems of mistagging of elements, imprecise search patterns, and other errors. Cascade failure resulted in an average of 4.65 points lost per transcript. Conclusions The CLAN program showed relatively inaccurate outcomes in comparison to manual scoring on both traditional and new measures of accuracy. Recommendations for improvement of the program include accounting for second exemplar violations and applying cascaded credit, among other suggestions. It was proposed that research on machine-scored syntax routinely report accuracy measures detailing erroneous and missed scores, including MIA, so that researchers and clinicians are aware of the limitations of a machine-scoring program. Supplemental Material https://doi.org/10.23641/asha.11984364

Download Full-text

Viewing music videos: Emotion and viewer interpretation

Zeitschrift für Medienpsychologie ◽

10.1026//1617-6383.14.2.69 ◽

2002 ◽

Vol 14 (2) ◽

pp. 69-79 ◽

Cited By ~ 1

Author(s):

Joan M. Preston ◽

Michael Eden

Keyword(s):

University Students ◽

Emotional Content ◽

Music Videos ◽

Music Video ◽

Mediating Factors ◽

Comparative Media

Abstract. Music video (MV) content is frequently measured using researcher descriptions. This study examines subjective or viewers’ notions of sex and violence. 168 university students watched 9 mainstream MVs. Incidence counts of sex and violence involve more mediating factors than ratings. High incidents are associated with older viewers, higher scores for Expressivity, lower scores for Instrumentality, and with video orders beginning with high sex and violence. Ratings of sex and violence are associated with older viewers and lower scores for Instrumentality. For sex MVs, inexperienced viewers reported higher incidents and ratings. Because MVs tend to be sexier but less violent than TV and film, viewers may also use comparative media standards to evaluate emotional content MVs.

Download Full-text