CODE-SWITCHING AND CODE-MIXING ON PERSUASION IN INDONESIAN TELEVISION ADVERTISEMENTS

Bilingualism and multilingualism have been a popular topic to discuss recently. Two the examples of the phenomenon are code-switching and code-mixing. This research is aimed to describe the usage of code-switching and code-mixing in Indonesian television advertisements. Further, it also investigates the factors affecting the code-switching and code-mixing in the area. The research used descriptive qualitative method. The data collection was done by recording television advertisements focusing on English-Indonesian advertisements taking place from 6 May until 14 May 2017. The techniques of analyzing data were the interactive analysis that consisted of four steps, namely data collection, data reduction, data analysis, and verification or drawing the conclusion. The result of the study showed that there were 80 data consisting of 42 code-switching and 38 code-mixing. From the data, inter-sentential code-switching and intra-lexical mixing were commonly used in the advertisements. The most products using code-switching and code-mixing were from cosmetics, medicines, and hygiene stuff group. The factors affecting the usage of codeswitching and code-mixing were language facility, language economy, euphemism/communication distance, stylistic purposes in communication, and expression of multiple identities. The study concludes that code-switching and code-mixing are highly used in Indonesian television advertisements. It shows that bilingualism and multilingualism have been accepted in Indonesian people’s daily lives

Computational Sociolinguistics: A Survey

Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201

ON MONITORING LANGUAGE CHANGE WITH THE SUPPORT OF CORPUS PROCESSING

One of the fundamental characteristics of language is that it can change over time. One method to monitor the change is by observing its corpora: a structured language documentation. Recent development in technology, especially in the field of Natural Language Processing allows robust linguistic processing, which support the description of diverse historical changes of the corpora. The interference of human linguist is inevitable as it determines the gold standard, but computer assistance provides considerable support by incorporating computational approach in exploring the corpora, especially historical corpora. This paper proposes a model for corpus development, where corpus are annotated to support further computational operations such as lexicogrammatical pattern matching, automatic retrieval and extraction. The corpus processing operations are performed by local grammar based corpus processing software on a contemporary Indonesian corpus. This paper concludes that data collection and data processing in a corpus are equally crucial importance to monitor language change, and none can be set aside