%0 Conference Paper
%A Rajeg, Gede Primahadi Wijaya
%A Siahaan, Poppy
%A Gaby, Alice
%D 2019
%T Linguistic and co-speech gestural patterns of spatiotemporal metaphors in Indonesian
%U https://bridges.monash.edu/articles/conference_contribution/Linguistic_and_co-speech_gestural_patterns_of_spatiotemporal_metaphors_in_Indonesian/7722362
%R 10.26180/5c660c9786cef
%2 https://bridges.monash.edu/ndownloader/files/14375423
%K Cognitive Linguistics
%K Conceptual Metaphors
%K Spatiotemporal metaphors
%K time-space metaphors
%K Indonesian language
%K Corpus Linguistics
%K Co-speech gesture
%K language and cognition
%K time
%K metaphors
%K metafora waktu bahasa Indonesia
%K metafora waktu
%K metafora temporal Bahasa Indonesia
%K metafora temporal bahasa indonesia
%K metafora temporal
%K Linguistik Kognitif
%K linguistik kognitif
%K Linguistik Korpus
%K linguistik korpus
%K gestur
%K metafora konseptual
%K sains kognitif
%K cognitive science
%K Indonesian Leipzig Corpora
%K Korpus Bahasa Indonesia Leipzig
%K metaphorical pattern analysis
%K time and space questionnaire
%K Language
%K Cognitive Science not elsewhere classified
%K Indonesian Languages
%K Language Studies not elsewhere classified
%K Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics)
%K Linguistics not elsewhere classified
%X Abstract accepted for oral-presentation at the 15th International Cognitive Linguistics Conference, in Nishinomiya, Japan (6 - 11 August, 2019). Click on the dark pink Cite
button (next to the Download
button) for how to cite and view its DOI.
"ind_newscrawl_2016_1M-sentences.txt"
) of c15 million word-tokens as part of the Indonesian Leipzig Corpora Collection (download from here). The n-gram generation was performed in R (version 3.5.1) using the tokens_ngrams()
function from the quanteda
package. Then, we retrieved n-grams (i.e. bigram, trigram, and four-gram) centred around a set of temporal keywords in Indonesian, such as masa 'era; period', waktu 'time', zaman 'era; period'. This approach is inspired by the corpus-based Metaphorical Pattern Analysis (MPA) (Stefanowitsch 2006) that focuses on the metaphorical collocational patterns of words referring to the metaphorical target domain (such as TIME). Such an approach allows us to identify a number of linguistic elements the "Time and Space Questionnaire" focuses on, such as types of motion verbs and prepositional phrases collocating with the temporal words; our corpus-based approach adds quantitative information for these collocational patterns regarding their token frequency.