Article Sidebar

Download
PDF
Statistic
Read Counter : 94 Download : 95

Main Article Content

Abstract

This study aims to understand how to analyse the language corpus and be able to apply it properly and to improve the Arabic vocabulary of new students of UIN Jakarta majoring in Arabic Language Education (PBA) through the application of sketch engine. The application of sketch engine in learning Arabic vocabulary is still very rarely applied. This sketch engine is the first time applied to new students of UIN Jakarta in the special guidance of al-'Arabiyah al-Mukasyafah. The research method used is descriptive method with qualitative approach (field research). While data collection techniques are done by observation, interviews, and documentation. Based on the results of the study, there are three stages carried out; 1) presentation of conceptual material 2) presentation of skill material 3) evaluation of activities 4) reflection of activities. From these four stages, students are able to apply their applicative knowledge in using the sketch engine. All students who were divided into 4 groups were able to follow the steps of corpus analysis very well through reports in the form of working papers. In addition, the application of this sketch engine is able to increase students' Arabic vocabulary skills through finding word collocations and finding various meanings that fit the vocabulary.

Keywords

Sketch Engine The Language Corpus Vocabulary Learning

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

References

  1. Abdul Razak,. Zainur Rijal,. & Samah Rosni. (2018). Arabic Vocabulary Saiz among Students in Higher Education: Issues and Teaching Strategies. International Journal of Language Education and Applied Linguistics (IJLEAL), 08 (2), 61-70. https://doi.org/10.15282/ijleal.v8.394
  2. Ahyar, Haerul (2018). Mastery of Mufrādat and Qawā'id as an Effort to Improve Arabic Writing Skills. al Mahāra Journal of Arabic Language Education, 4 (2),259-274. https://doi.org/10.14421/almahara.2018.042-06
  3. Anggraeni, L,. Martin, A,. Puspita, D,. Kristiana, D, Novi, A,. Kristina, M,. Nagara, ES,. Utami, BHS,. Sari, NY,. Pratomo, PA,. Andewi, W,. (2023). Research Methodology, West Java: CV Adanu Abitama.
  4. Ardiyanti, A,. Bandu, I,. & Usman, M,. (2018). Learning French Vocabulary with Flashcard Media (Case Study on French Literature Students). JOURNAL OF CULTURAL SCIENCES, 6 (1), 176-186. http://dx.doi.org/10.34050/jib.v6i1.4327
  5. Bennett, Gena R (2010). Using Corpora in the Language Learning Classroom: Corpus Linguistics For Teachers. University of Michigan ELT Press. https://doi.org/10.3998/mpub.371534
  6. Cheng, Winnie (2011). Exploring Corpus Linguistics. London: Routledge. https://doi.org/10.4324/9780203802632
  7. Comp.leeds.ac.uk. accessed on 11 November 2023 at 11:06 pm. http://www.comp.leeds.ac.uk/eric/latifa/arabic_corpora.htm
  8. Corpus.qura.com. accessed on 11 November 2023 at 11:09 pm http://corpus.quran.com/
  9. Fudhaili, Achmad (2022). Kumon Model as a Learning Sequence: Improving Students' Imla' Writing Skills. An Nabighoh, 24 (2), 155-170. https://doi.org/10.32332/an-nabighoh.v24i2.5138
  10. Hasnah, Sitti (2015). Learning Arabic Vocabulary (Mufradät) Through Picture Media to Increase Student Learning Interest in the Department of Islamic Education, Faculty of Tarbiyah IAIN Palu. ISTIQRA, Journal of Scientific Research, 3 (1), 197-225.
  11. Hestiyani, Yosha (2019). Card Sort Method to Improve Vocabulary Mastery in Arabic Language Learning at School. ALSUNIYAT: Journal of Arabic Language, Literature and Culture Research, 2 (2), 149-161. https://doi.org/10.17509/alsuniyat.v2i2.23574
  12. Hizbullah Nur, Fazlurrahman, & Fuzi Fauziah (2016). Corpus Linguistics in Arabic Language Study and Learning in Indonesia. Proceedings of the National Conference on Arabic Language II Malang, 385-393.
  13. Imad, Z & Abdelhak L (2016), New Quranic Corpus rich in Morphological Information, International Journal of Speech Technology, 19(2), 339-346. https://doi.org/10.1007/s10772-016-9335-7
  14. Kbbi.web.id. accessed 11 November 2023 at 11:03 WIB. http://kbbi.web.id
  15. Kilgarriff, A,. Rychly, P,. Smrz, P,. & Tugwell, D,. (2004). Sketch Engine.
  16. Kilgarriff, Adam,. Baisa, V,. Busta, J,. Jakubicek, M,. Kovar, V,. Michelfeit, Rychly, P,. & Suchomel, V,. (2014). The Sketch Engine: Ten Years On. Lexical Computing Ltd, Brighton, UK & Masaryk University, Brno, Czech Republic.
  17. Mufidah, Nuril & Rohima, Intan Izha,. (2020) Teaching Vocabulary for Arabic Intensive Class Students. Uniqbu Journal Of Social Sciences (UJSS), 1 (1), 13-24.
  18. Nadja, Nesselhauf (2011), Corpus Linguistics: A Practical Introduction. Anglistisches Seminar
  19. Safiullah, G,. Davitova, R,. & Lelakova, E,. (2019). Sketch Engine in Building a Lexical Minimum for Child. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 1(9), 5105-5108. https://dx.doi.org/10.35940/ijitee.A9206.119119
  20. Setyadi, Bakti (2022). Research Methods, Yogyakarta: Jejak Pustaka.
  21. Sketchegine.eu. accessed 11 November 2023 at 11:03 am. https://www.sketchengine.co.uk/artenten-corpus/
  22. Sketchengine.eu. accessed 11 November 2023 at 11:03 pm. https://www.sketchengine.eu/#blue
  23. Textminingthequran.com accessed on 11 November 2023 at 11:15 WIB http://www.textminingthequran.com/wiki/QurConcord
  24. Thomas, James (2016). Sketch Engine: a Toolbox for Linguistic Discovery.
  25. Uswar, Yenita, et al. (2023), Improving Corpus-Based English Vocabulary Mastery Through Sketch Engine Media, Abdimas Mandiri, Journal of Community Service, Vol. 3 No. 1 May 2023
  26. Wirza, Yanti. Application of Concordance Program Software in Language Teaching and Research (Case Study on 6th Semester Students of Language and Literature Department, Universitas Pendidikan Indonesia). UNIKOM Scientific Magazine, 7(2), 217-222.
  27. Yuliawati, Susi (2014). Corpus-Based Analysis; Collocation of Words Meaning 'Woman' in Sundanese Media (Mangle Magazine, 2012-2013). Domain, 03 (1), 107-123. https://doi.org/10.26499/rnh.v3i2.42