Frequency of Verbs in Lifestyle Column in The Jakart Post and The Relation to Text Characteristics: A Corpus-Based Analysis

Ikmi Nur Oktavianti, Zanuar Anggun Pramesti

Abstract


This study examines the use of verbs in Lifestyle column in The Jakarta Post to identify the frequency of verbs used in the column and to find out the relation between frequency of verbs and the characteristics of Lifestyle column as the staple product of soft news. This study collected the data, sentences containing lexical verbs, from Lifestyle articles labeled as Lifestyle Corpus comprising 29.195 words. The Lifestyle Corpus was loaded into Lancsbox corpus tool to get the assistance in identifying the use of the verbs. The data were analyzed both qualitatively (classifying the types of the verbs based on Scheibmann’s compilation and interpreting the relation between frequency and text characteristics) and quantitatively (counting the percentage of verb usage and list the verbs from the most frequent to the least frequent one). The results of the study show that the verb types most frequently used in Lifestyle of The Jakarta Post are material, verbal, and relational and the least frequent ones are possessive/relational, cognition, and perception/relational. The highest use of material verbs is plausible since the members of material verbs can also be used as phrasal verbs and used metaphorically. Following material, verbal verbs occupies the second most frequent verb of which it is in accordance with the nature of news text, that is to report something. Meanwhile, perception/relational verb indicates that the expression of subjective perception is less prominent in writing Lifestyle articles as it is also avoided in news writing in general. This strongly indicates that frequency of linguistic units is (1) affected by the nature of the linguistic units themselves or (2) affected by the characteristics of the text.


Keywords


verbs; corpus; soft news; The Jakarta Post

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References


Baker, P. (2010). Sociolinguistics and Corpus Linguistics. Edinburgh: Edinburgh University Press.

Bednarek, M., & Caple, H. (2012). News Discourse. London: Continuum.

Bell, A. (1991). Language of News Media. Oxford: Blackwell.

Biber, D., & Conrad, S. (2009). Register, Genre, and Style. Cambridge: Cambridge University Press.

Biber, D., & Gray, B. (2016). Grammatical complexity in academic English: Linguistic change in writing. Cambridge: Cambridge University Press.

Biber, D., & Quirk, R. (Eds.). (2012). Longman grammar of spoken and written English (10. impression). Harlow: Longman.

Brezina, V., Timperley, M., & McEnery, T. (2018). Lancsbox (Version 4.x.). Retrieved from http://corpora.lancs.ac.uk/lancsbox.

Bybee, J. L., & Hopper, P. J. (Eds.). (2001). Frequency and the emergence of linguistic structure. Amsterdam: Benjamins.

Chafe, W. L. (1970). Meaning and the Structure of Language. Chicago: University of Chicago Press.

Clackson, J. (2007). Indo-European Linguistics: An Introduction. Cambridge: Cambridge University Press.

Comrie, B. (1976). Aspect: An introduction to the study of verbal aspect and related problems. Cambridge ; New York: Cambridge University Press.

Comrie, B. (2000). Tense. Cambridge [Cambridgeshire] ; New York: Cambridge University Press.

Conboy, M. (2010). The language of newspapers: Socio-historical perspectives. London: Continuum.

Conrad, S., & Biber, D. (Eds.). (2001). Variation in English: Multi-dimensional studies. Harlow, England ; New York: Longman.

Conrad, S., & Biber, D. (2009). Real Grammar. London: Pearson Education.

Deng, F., & Li, X. (2017). A Computer Corpus-based Study of FOREIGN in English Newspapers and its Pedagogical Implications. Eurasia Journal of Mathematics, Science and Technology Education, 13(10), 6799–6806. https://doi.org/10.12973/ejmste/78278

Denyer, L. F. (2003). CORPUS STUDY CARRIED OUT ON THREE “LEGAL†VERBS TO DEMONSTRATE THEIR SIMILAR AND DIFFERENT USAGE FOR THE PURPOSES OF LEGAL TRANSLATORS AND LAWYER-LINGUISTS. 20.

Dixon, R. M. W. (2005). A Semantic Approach to English Grammar. Oxford: Oxford University Press.

Halliday, M. A. K. (1990). Spoken and Written Language. Oxford: Oxford University Press.

Halliday, M. A. K., & Matthiessen, C. M. I. M. (2004). An introduction to functional grammar (3rd ed). London : New York: Arnold ; Distributed in the United States of America by Oxford University Press.

Heine, B., & Kuteva, T. (2007). The genesis of grammar: A reconstruction. Oxford ; New York: Oxford University Press.

Leech, G. N., & Short, M. (2007). Style in fiction: A linguistic introduction to English fictional prose (2nd ed). New York: Pearson Longman.

Lehman-Wilzig, S. N., & Seletzky, M. (2010). Hard news, soft news, ‘general’ news: The necessity and utility of an intermediate classification. Journalism: Theory, Practice & Criticism, 11(1), 37–56. https://doi.org/10.1177/1464884909350642

Leitner, G. (1986). Reporting the “events of the dayâ€: Uses and functions of reported speech. Studia Anglica Posnaniensia, 8, 189–204.

Levin, B. (1993). English Verb Classes and Alternations: A Pleminary Investigation. Chicago: University of Chicago Press.

McCarthy, M., & O’Dell, F. (2017). English phrasal verbs in use: Advanced : 60 units of vocabulary reference and practice : self-study and classroom use. Cambridge: Cambridge University Press.

Moon, R. (2016). A Corpus-Linguistic Analysis of News Coverage in Kenya’s Daily Nation and The Times of London. 21.

Nordlund, M. (2008). From Physical to Mental Acquisition: A Corpus-Based Study of Verbs. Sweden: Lulea University of Technology.

O’Grady, W. (2005). How Children Learn Language. Cambridge: Cambridge University Press.

Oktavianti, I. N. (2016). Quasi-modals in British and American English. Lingua Scientia, 8(2), 257–272.

Oktavianti, I. N. (2019). Verba Bantu Modal Bahasa Inggris: Karakteristik, Pemakaian, dan Perubahan. Gadjah Mada University, Yogyakarta.

Oktavianti, I. N., & Ardianti, N. R. (2019). A CORPUS-BASED ANALYSIS OF VERBS IN NEWS SECTION OF THE JAKARTA POST: HOW FREQUENCY IS RELATED TO TEXT CHARACTERISTICS. JOALL (Journal of Applied Linguistics & Literature), 4(2), 203–214. https://doi.org/10.33369/joall.v4i2.7623

Oxford Dictionary of English [Computer Program]. (2014). Retrieved from https://apps.apple.com/us/app/oxford-dictionary-of-english/id978674211

Pavey, E. L. (2010). The structure of language: An introduction to grammatical analysis. Retrieved from https://doi.org/10.1017/CBO9780511777929

Reinemann, C., Stanyer, J., Scherr, S., & Legnante, G. (2012). Hard and soft news: A review of concepts, operationalizations and key findings. Journalism: Theory, Practice & Criticism, 13(2), 221–239. https://doi.org/10.1177/1464884911427803

Stake, R. E. (2010). Qualitative research: Studying how things work. New York: Guilford Press.

Szudarski, P. (2017). Corpus Linguistics for Vocabulary: A Guide for Research (1st ed.). https://doi.org/10.4324/9781315107769

Wang, H. (2015). A Corpus-based Contrastive Study of Online News Reports on Economic Crisis ― A Critical Discourse Analysis Perspective. Journal of Language Teaching and Research, 6(3), 627. https://doi.org/10.17507/jltr.0603.20

Yilmaz, M., & Ertürk, Z. Ö. (2017). A Contrastive Corpus-based Analysis of the Use of Reporting Verbs by Native and Non-native ELT Researchers. Novitas-ROYAL (Research on Youth and Language), 11(2), 112–127.

Zarifi, V., & Mukundan, J. (2013). Phrasal Verb Combinations in Corpus-Based Studies: A Critical Review. International Journal of Applied Linguistics & English Literature, 2(4), 212–217. https://doi.org/10.7575/aiac.ijalel.v.2n.4p.212




DOI: https://doi.org/10.24256/ideas.v7i2.1038

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