Roberta Spelorzi
Biographic Data
| ID | 3530894 |
|---|---|
| NAME | Roberta Spelorzi |
| GIVEN NAMES | Roberta |
| FAMILY NAME | Spelorzi |
| SIGNATURE | SPELORZI R |
| AFFILIATIONS | University of Edinburgh |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Inter-generational attrition
The phenomenon of language change in contact has been explored most significantly in speakers of a language who migrate, while fewer studies explore how language is affected across different generations. In this study, we aimed to investigate the role of inter-generational attrition on the production of clitic pronouns and clitic clusters. 86 adult speakers of Italian took part in the study: homeland residents, long-term UK residents, and heritag…
Moving to continuous classifications of bilingualism through machine learning trained on language production
Recent conceptualisations of bilingualism are moving away from strict categorisations, towards continuous approaches. This study supports this trend by combining empirical psycholinguistics data with machine learning classification modelling. Support vector classifiers were trained on two datasets of coded productions by Italian speakers to predict the class they belonged to (“monolingual”, “attriters” and “heritage”). All classes can be predicte…
Language Competence in Italian Heritage Speakers
The linguistic profile of bilingual children is known to show areas of overlap with that of children affected by Developmental Language Disorder (DLD), creating a need to differentiate the profiles and provide clinicians with tools to evaluate bilingual speakers in both of their languages. Data from typical adult bilinguals provide a picture of the language of a bilingual speaker at the end of language development. The present work explores how c…
Language Competence in Italian Heritage Speakers
The linguistic profile of bilingual children is known to show areas of overlap with that of children affected by Developmental Language Disorder (DLD), creating a need to differentiate the profiles and provide clinicians with tools to evaluate bilingual speakers in both of their languages. Data from typical adult bilinguals provide a picture of the language of a bilingual speaker at the end of language development. The present work explores how c…
Moving to continuous classifications of bilingualism through machine learning trained on language production
Recent conceptualisations of bilingualism are moving away from strict categorisations, towards continuous approaches. This study supports this trend by combining empirical psycholinguistics data with machine learning classification modelling. Support vector classifiers were trained on two datasets of coded productions by Italian speakers to predict the class they belonged to (“monolingual”, “attriters” and “heritage”). All classes can be predicte…
Language Competence in Italian Heritage Speakers
The linguistic profile of bilingual children is known to show areas of overlap with that of children affected by Developmental Language Disorder (DLD), creating a need to differentiate the profiles and provide clinicians with tools to evaluate bilingual speakers in both of their languages. Data from typical adult bilinguals provide a picture of the language of a bilingual speaker at the end of language development. The present work explores how c…
Inter-generational attrition
The phenomenon of language change in contact has been explored most significantly in speakers of a language who migrate, while fewer studies explore how language is affected across different generations. In this study, we aimed to investigate the role of inter-generational attrition on the production of clitic pronouns and clitic clusters. 86 adult speakers of Italian took part in the study: homeland residents, long-term UK residents, and heritag…
Moving to continuous classifications of bilingualism through machine learning trained on language production
Recent conceptualisations of bilingualism are moving away from strict categorisations, towards continuous approaches. This study supports this trend by combining empirical psycholinguistics data with machine learning classification modelling. Support vector classifiers were trained on two datasets of coded productions by Italian speakers to predict the class they belonged to (“monolingual”, “attriters” and “heritage”). All classes can be predicte…
Linguistics (3 works) · Psychology (3 works) · Clitic (2 works) · Heritage language (2 works) · Language Development and Disorders (2 works) · Multilingual Education and Policy (2 works) · Neuroscience of multilingualism (2 works) · Artificial Intelligence (1 work) · Attrition (1 work) · Competence (human resources (1 work)