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.
The eight iteration of Shassion on #Linguistics (08 December 2020) featured a talk on the interface of digital humanities and language documentation presented by Dr. Simon Musgrave (Monash University, Australia) in collaboration with A/Prof. Nick Thieberger (University of Melbourne, Australia). See the recording of the talk below.
Prof. Martin Hilpert (University of Neuchâtel, Switzerland) participated as the invited speaker in our Shassion on #Linguistics (24 November 2020) in conjunction with the Guest Lecture for Corpus Linguistics class in Linguistics Doctoral Program at Udayana University (convened by Gede Primahadi Wijaya Rajeg, PhD & Prof. I Wayan Arka). Prof. Hilpert talked about quantitative corpus linguistic analysis on large database of English clippings. Flyer and recording of the talk can be seen below.
CIRHSS Deputy Secretary, Gede Primahadi Wijaya Rajeg, Ph.D., gave a guess talk at BIT Schoolabout 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.
Generating a frequency list of words from hundreds of text files, followed by
Extracting full-reduplication words
Performing summary statistics for the length of the letters in the reduplication
Visualising the results
Extracting prominent/key terms in a collection of novels to reveal what those novels are about.
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.