Doing language sciences in the digital age – by Gede Primahadi W. Rajeg

Gede Primahadi Wijaya Rajeg, PhD (website) was invited to give a guest lecture under the theme: Doing Language Sciences in the Digital Age at the English Study Program, Faculty of Foreign Languages, Mahasaraswati University, Denpasar. 

The lecture was targeted at the fourth- and six-semester undergraduate students at the Program. The first part of the lecture provided a brief overview of linguistics and its sub-areas. The second part of the lecture discussed how students’ linguistic research project can take advantages of the technological advances characterising the field of corpus linguistics, particularly the availability of large collection of digitalised texts (i.e. language corpora) and the retrieved quantitative information from analysing large dataset from corpora; this was illustrated with a number of simple case studies around the word’s usages on the basis of data from the Corpus of Contemporary American English (COCA) and the Coronavirus Corpus (webpage). You can download the slides and watch the recording from below.

Talk at UCREL Corpus Research Seminar – by Gede Primahadi W. Rajeg

Gede Primahadi Wijaya Rajeg, PhD was one of the invited speakers in the University Centre for Computer Corpus Research on Language (UCREL) Corpus Research Seminar series online at the Lancaster University, UK. The talk was a joint work with Dr. I Made Rajeg and Prof. I Wayan Arka on the interaction of voice alternation and (non-)metaphoric meaning of verbs from corpus linguistic and experimental perspectives. Related publication on this topic (Rajeg, Rajeg, & Arka 2020) (PDF) is recently published in the Proceedings of the LFG’20 Conference. Watch the recording and download the slides from below; abstract can be viewed here.

Coding untuk anak Sastra? Perlu banget!

CIRHSS Deputy Secretary, Gede Primahadi Wijaya Rajeg, Ph.D., gave a guess talk at BIT School about the benefits of coding/computing skill and data science in Language Sciences. Gede presented three simple cases to illustrate the interaction of computational and data science skills using R for investigating language and texts.

  1. Generating a frequency list of words from hundreds of text files, followed by
    1. Extracting full-reduplication words
    2. Performing summary statistics for the length of the letters in the reduplication
    3. Visualising the results
  2. Extracting prominent/key terms in a collection of novels to reveal what those novels are about.
  3. Comparing collocates of one word (i.e. menolak ‘to refuse’) in two different text corpora.

Below are the recordings of the talk (in Indonesian). The first part is the presentation, while the second part is the Q&A section.

Presentation
Q&A