TY - JOUR
T1 - A corpus-based analysis of P indexing in Ruuli (Bantu, JE103)
AU - Just, Erika
AU - Witzlack-Makarevich, Alena
N1 - Publisher Copyright:
© 2022 NISC (Pty) Ltd.
PY - 2022
Y1 - 2022
N2 - Verbs in Bantu languages usually carry an obligatory subject (or S/A) prefix, whereas the presence of a transitive object (or P) prefixes depends on various language-specific factors. A number of such factors is well described in a range of studies mainly based on elicited data. To examine their interplay in naturalistic texts, we conducted a corpus-based case study of object prefixes (or P indexing in the terminology used in this article) in the Bantu language Ruuli (JE103). The corpus of over 15 000 words was annotated for variables such as animacy, identifiability and textual givenness. The statistically relevant factors for triggering P indexing were identified using conditional inference trees. Unsurprisingly, the results show that the strongest predictor for P indexing in Ruuli is word order. Just as P indexing itself, we assume that word order is a differential pattern expressing the argument’s semantic and pragmatic properties. Taking only the latter into account, the analyses reveal that firstly, P indexing seems to be strongly predictable by textual givenness. Secondly, if the referent is given, the probability that it gets indexed is significantly higher if it is human.
AB - Verbs in Bantu languages usually carry an obligatory subject (or S/A) prefix, whereas the presence of a transitive object (or P) prefixes depends on various language-specific factors. A number of such factors is well described in a range of studies mainly based on elicited data. To examine their interplay in naturalistic texts, we conducted a corpus-based case study of object prefixes (or P indexing in the terminology used in this article) in the Bantu language Ruuli (JE103). The corpus of over 15 000 words was annotated for variables such as animacy, identifiability and textual givenness. The statistically relevant factors for triggering P indexing were identified using conditional inference trees. Unsurprisingly, the results show that the strongest predictor for P indexing in Ruuli is word order. Just as P indexing itself, we assume that word order is a differential pattern expressing the argument’s semantic and pragmatic properties. Taking only the latter into account, the analyses reveal that firstly, P indexing seems to be strongly predictable by textual givenness. Secondly, if the referent is given, the probability that it gets indexed is significantly higher if it is human.
UR - http://www.scopus.com/inward/record.url?scp=85134501043&partnerID=8YFLogxK
U2 - 10.1080/02572117.2022.2094083
DO - 10.1080/02572117.2022.2094083
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AN - SCOPUS:85134501043
SN - 0257-2117
VL - 42
SP - 234
EP - 242
JO - South African Journal of African Languages
JF - South African Journal of African Languages
IS - 2
ER -