{"title":"基于语料库的鲁利语P索引分析(Bantu,JE103)","authors":"Erika Just, Alena Witzlack-Makarevich","doi":"10.1080/02572117.2022.2094083","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":42604,"journal":{"name":"South African Journal of African Languages","volume":"42 1","pages":"234 - 242"},"PeriodicalIF":0.4000,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A corpus-based analysis of P indexing in Ruuli (Bantu, JE103)\",\"authors\":\"Erika Just, Alena Witzlack-Makarevich\",\"doi\":\"10.1080/02572117.2022.2094083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":42604,\"journal\":{\"name\":\"South African Journal of African Languages\",\"volume\":\"42 1\",\"pages\":\"234 - 242\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2022-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"South African Journal of African Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02572117.2022.2094083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"South African Journal of African Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02572117.2022.2094083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
A corpus-based analysis of P indexing in Ruuli (Bantu, JE103)
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.
期刊介绍:
The South African Journal of African Languages is a peer-reviewed research journal devoted to the advancement of African (Bantu) and Khoi-San languages and literatures. Papers, book reviews and polemic contributions of a scientific nature in any of the core areas of linguistics, both theoretical (e.g. syntax, phonology, semantics) and applied (e.g. sociolinguistic topics, language teaching, language policy), and literature, based on original research in the context of the African languages, are welcome. The journal is the official mouthpiece of the African Language Association of Southern Africa (ALASA), established in 1979.