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A quantitative and qualitative analysis of errors occurring in the codeswitched utterances of two bilingual siblings. / Lonngren Sampaio, Catherine.

2019. 153-154 Abstract from 11th International Conference on Corpus Linguistics, Valencia, Spain.

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Lonngren Sampaio C. A quantitative and qualitative analysis of errors occurring in the codeswitched utterances of two bilingual siblings. 2019. Abstract from 11th International Conference on Corpus Linguistics, Valencia, Spain.

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@conference{4036155267354d31b32589e9c3f97405,
title = "A quantitative and qualitative analysis of errors occurring in the codeswitched utterances of two bilingual siblings",
abstract = "This paper reports on some of the results of a wider investigation of code-switching in a computerised corpus of child bilingual language, the LOBILL Corpus, which consists of twenty-five hours of recordings of naturalistic interactions between two bilingual Brazilian/English siblings (JAM, 3;6 and MEG, 5:10) and their family members). Collected over three years, the data was transcribed and coded using the CHAT (Codes for the Human Analysis of Transcripts) transcription system developed by MacWhinney and colleagues (MacWhinney, 2000). Errors (see Gagarina, 2013, Gillam et al, 2013 and James, 2013 for a discussion on the use of this term) were identified and coded, andinformation regarding the target form and possible origin of the error were also included in the transcripts.Focusing on the production of the bilingual siblings, the CLAN (Computerized Language Analysis) software (MacWhinney, 2018) was used to perform several analyses. First, frequency analyses were performed on the siblings{\textquoteright} output in order to determine the number of times errors occurred (i) overall and (ii) only in code-switched utterances. The overall frequency results showed more error codes for JAM (956) than for his older sister MEG (371). However, for both children, proportionately more error codes were seen to occur in their codeswitched utterances than in their monolingual utterances. An examination of the tokens coded as errors revealed a marked difference in the type oferrors each child produced while in bilingual mode: whereas the older sibling{\textquoteright}s errors were mostly lexically related, JAM{\textquoteright}s errors were mostly grammatical in nature. In addition, it was noted that while MEG's errors consisted of mostly singular occurrences (i.e. she rarely repeated the same error twice), the top two most frequent tokens in JAM's frequency list, 'which' and 'to' occurred 19 times and 15 times respectively, accounting for over 17% of the errors he produced when code-switching.A second more qualitative analysis involved using CLAN to retrieve all the codeswitched utterances containing errors, thereby enabling their examination in a wider linguistic context. Due to the longitudinal nature of the corpus, it was also possible to track JAM's reoccurring errors over the three years and investigate the data from a developmental perspective. In many cases it was necessary to examine the siblings' monolingual output in order to determine the extent to which an error could be attributed to the act of codeswitching itself (i.e. caused by the surface juxtaposition of two languages) or the result ofthe manifestation of underlying cross-linguistic influence (see Jarvis, 2009 and TreffersDaller, 2009). By also considering developmental aspects and the influence of contextual factors, such as the language of the environment (which changed over the course of the data collection), this paper provides a holistic examination of two bilingual siblings' errors, the results of which offer a unique insight into the possible outcomes of bilingual language use.ReferencesGagarina, N.V. (2013). Acquisition and loss of L1 in a Russian-German bilingual child: A case study. Путь в язык. Одноязычие и двуязычие, 137.Gillam, R. B., Pe{\~n}a, E. D., Bedore, L. M., Bohman, T. M., & Mendez-Perez, A. (2013). Identification of Specific Language Impairment in Bilingual Children: I.Assessment in English. Journal of Speech, Language, and Hearing Research,56(6), 1813-1823.James, C. (2013). Errors in language learning and use: Exploring error analysis.Routledge.Jarvis, S. (2009). Lexical Transfer. In A. Pavlenko (Ed.), The Bilingual Mental Lexicon: interdisciplinary Approaches (pp.99-124). Bristol: Multilingual Matters.MacWhinney, B. (2000). The CHILDES Project: Tools for Analyzing Talk. 3rd Edition. Mahwah, NJ: Lawrence Erlbaum Associates.MacWhinney, B. (2018). The CHILDES Project, Tools for Analyzing Talk – Electronic Edition. Part 2: The CLAN Programs. Carnegie Mellon University. Available online: https://talkbank.org/manuals/CLAN.pdfTreffers-Daller, J. (2009). Code-switching and transfer: an exploration of similarities and differences. In B. E. Bullock & J. Toribio (Eds.), The Cambridge Handbook of Linguistic Code-switching (pp.58-74). Cambridge: Cambridge University Press. ",
keywords = "code-switching, errors, CLAN",
author = "{Lonngren Sampaio}, Catherine",
year = "2019",
month = may,
day = "15",
language = "English",
pages = "153--154",
note = "11th International Conference on Corpus Linguistics, CILC2019 ; Conference date: 15-05-2019 Through 17-05-2019",
url = "https://congresos.adeituv.es/cilc2019/ficha.en.html",

}

RIS

TY - CONF

T1 - A quantitative and qualitative analysis of errors occurring in the codeswitched utterances of two bilingual siblings

AU - Lonngren Sampaio, Catherine

PY - 2019/5/15

Y1 - 2019/5/15

N2 - This paper reports on some of the results of a wider investigation of code-switching in a computerised corpus of child bilingual language, the LOBILL Corpus, which consists of twenty-five hours of recordings of naturalistic interactions between two bilingual Brazilian/English siblings (JAM, 3;6 and MEG, 5:10) and their family members). Collected over three years, the data was transcribed and coded using the CHAT (Codes for the Human Analysis of Transcripts) transcription system developed by MacWhinney and colleagues (MacWhinney, 2000). Errors (see Gagarina, 2013, Gillam et al, 2013 and James, 2013 for a discussion on the use of this term) were identified and coded, andinformation regarding the target form and possible origin of the error were also included in the transcripts.Focusing on the production of the bilingual siblings, the CLAN (Computerized Language Analysis) software (MacWhinney, 2018) was used to perform several analyses. First, frequency analyses were performed on the siblings’ output in order to determine the number of times errors occurred (i) overall and (ii) only in code-switched utterances. The overall frequency results showed more error codes for JAM (956) than for his older sister MEG (371). However, for both children, proportionately more error codes were seen to occur in their codeswitched utterances than in their monolingual utterances. An examination of the tokens coded as errors revealed a marked difference in the type oferrors each child produced while in bilingual mode: whereas the older sibling’s errors were mostly lexically related, JAM’s errors were mostly grammatical in nature. In addition, it was noted that while MEG's errors consisted of mostly singular occurrences (i.e. she rarely repeated the same error twice), the top two most frequent tokens in JAM's frequency list, 'which' and 'to' occurred 19 times and 15 times respectively, accounting for over 17% of the errors he produced when code-switching.A second more qualitative analysis involved using CLAN to retrieve all the codeswitched utterances containing errors, thereby enabling their examination in a wider linguistic context. Due to the longitudinal nature of the corpus, it was also possible to track JAM's reoccurring errors over the three years and investigate the data from a developmental perspective. In many cases it was necessary to examine the siblings' monolingual output in order to determine the extent to which an error could be attributed to the act of codeswitching itself (i.e. caused by the surface juxtaposition of two languages) or the result ofthe manifestation of underlying cross-linguistic influence (see Jarvis, 2009 and TreffersDaller, 2009). By also considering developmental aspects and the influence of contextual factors, such as the language of the environment (which changed over the course of the data collection), this paper provides a holistic examination of two bilingual siblings' errors, the results of which offer a unique insight into the possible outcomes of bilingual language use.ReferencesGagarina, N.V. (2013). Acquisition and loss of L1 in a Russian-German bilingual child: A case study. Путь в язык. Одноязычие и двуязычие, 137.Gillam, R. B., Peña, E. D., Bedore, L. M., Bohman, T. M., & Mendez-Perez, A. (2013). Identification of Specific Language Impairment in Bilingual Children: I.Assessment in English. Journal of Speech, Language, and Hearing Research,56(6), 1813-1823.James, C. (2013). Errors in language learning and use: Exploring error analysis.Routledge.Jarvis, S. (2009). Lexical Transfer. In A. Pavlenko (Ed.), The Bilingual Mental Lexicon: interdisciplinary Approaches (pp.99-124). Bristol: Multilingual Matters.MacWhinney, B. (2000). The CHILDES Project: Tools for Analyzing Talk. 3rd Edition. Mahwah, NJ: Lawrence Erlbaum Associates.MacWhinney, B. (2018). The CHILDES Project, Tools for Analyzing Talk – Electronic Edition. Part 2: The CLAN Programs. Carnegie Mellon University. Available online: https://talkbank.org/manuals/CLAN.pdfTreffers-Daller, J. (2009). Code-switching and transfer: an exploration of similarities and differences. In B. E. Bullock & J. Toribio (Eds.), The Cambridge Handbook of Linguistic Code-switching (pp.58-74). Cambridge: Cambridge University Press.

AB - This paper reports on some of the results of a wider investigation of code-switching in a computerised corpus of child bilingual language, the LOBILL Corpus, which consists of twenty-five hours of recordings of naturalistic interactions between two bilingual Brazilian/English siblings (JAM, 3;6 and MEG, 5:10) and their family members). Collected over three years, the data was transcribed and coded using the CHAT (Codes for the Human Analysis of Transcripts) transcription system developed by MacWhinney and colleagues (MacWhinney, 2000). Errors (see Gagarina, 2013, Gillam et al, 2013 and James, 2013 for a discussion on the use of this term) were identified and coded, andinformation regarding the target form and possible origin of the error were also included in the transcripts.Focusing on the production of the bilingual siblings, the CLAN (Computerized Language Analysis) software (MacWhinney, 2018) was used to perform several analyses. First, frequency analyses were performed on the siblings’ output in order to determine the number of times errors occurred (i) overall and (ii) only in code-switched utterances. The overall frequency results showed more error codes for JAM (956) than for his older sister MEG (371). However, for both children, proportionately more error codes were seen to occur in their codeswitched utterances than in their monolingual utterances. An examination of the tokens coded as errors revealed a marked difference in the type oferrors each child produced while in bilingual mode: whereas the older sibling’s errors were mostly lexically related, JAM’s errors were mostly grammatical in nature. In addition, it was noted that while MEG's errors consisted of mostly singular occurrences (i.e. she rarely repeated the same error twice), the top two most frequent tokens in JAM's frequency list, 'which' and 'to' occurred 19 times and 15 times respectively, accounting for over 17% of the errors he produced when code-switching.A second more qualitative analysis involved using CLAN to retrieve all the codeswitched utterances containing errors, thereby enabling their examination in a wider linguistic context. Due to the longitudinal nature of the corpus, it was also possible to track JAM's reoccurring errors over the three years and investigate the data from a developmental perspective. In many cases it was necessary to examine the siblings' monolingual output in order to determine the extent to which an error could be attributed to the act of codeswitching itself (i.e. caused by the surface juxtaposition of two languages) or the result ofthe manifestation of underlying cross-linguistic influence (see Jarvis, 2009 and TreffersDaller, 2009). By also considering developmental aspects and the influence of contextual factors, such as the language of the environment (which changed over the course of the data collection), this paper provides a holistic examination of two bilingual siblings' errors, the results of which offer a unique insight into the possible outcomes of bilingual language use.ReferencesGagarina, N.V. (2013). Acquisition and loss of L1 in a Russian-German bilingual child: A case study. Путь в язык. Одноязычие и двуязычие, 137.Gillam, R. B., Peña, E. D., Bedore, L. M., Bohman, T. M., & Mendez-Perez, A. (2013). Identification of Specific Language Impairment in Bilingual Children: I.Assessment in English. Journal of Speech, Language, and Hearing Research,56(6), 1813-1823.James, C. (2013). Errors in language learning and use: Exploring error analysis.Routledge.Jarvis, S. (2009). Lexical Transfer. In A. Pavlenko (Ed.), The Bilingual Mental Lexicon: interdisciplinary Approaches (pp.99-124). Bristol: Multilingual Matters.MacWhinney, B. (2000). The CHILDES Project: Tools for Analyzing Talk. 3rd Edition. Mahwah, NJ: Lawrence Erlbaum Associates.MacWhinney, B. (2018). The CHILDES Project, Tools for Analyzing Talk – Electronic Edition. Part 2: The CLAN Programs. Carnegie Mellon University. Available online: https://talkbank.org/manuals/CLAN.pdfTreffers-Daller, J. (2009). Code-switching and transfer: an exploration of similarities and differences. In B. E. Bullock & J. Toribio (Eds.), The Cambridge Handbook of Linguistic Code-switching (pp.58-74). Cambridge: Cambridge University Press.

KW - code-switching

KW - errors

KW - CLAN

M3 - Abstract

SP - 153

EP - 154

T2 - 11th International Conference on Corpus Linguistics

Y2 - 15 May 2019 through 17 May 2019

ER -