Francesca Di Garbo


View page in English
Arbetar vid Institutionen för lingvistik
Telefon 08-16 31 56
Besöksadress Universitetsvägen 10 C, plan 2-3
Rum C 348
Postadress Institutionen för lingvistik 106 91 Stockholm

Om mig

Postdok i allmän språkvetenskap

Finansieras av Anna Ahlströms och Ellen Terserus stiftelse


I urval från Stockholms universitets publikationsdatabas
  • 2016. Francesca Di Garbo. Linguistic Discovery 14 (1), 46-85

    This paper proposes a set of principles and methodologies for the crosslinguistic investigation of grammatical complexity and applies them to the in-depth study of one grammatical domain, gender. The complexity of gender is modeled on the basis of crosslinguistically documented properties of gender systems and by taking into consideration interactions between gender and two other grammatical domains: nominal number and evaluative morphology. The study proposes a complexity metric for gender that consists of six features: “Gender values”, “Assignment rules”, “Number of indexation (agreement) domains”, “Cumulative exponence of gender and number”, “Manipulation of gender assignment triggered by number/countability”, and “Manipulation of gender assignment triggered by size”. The metric is tested on a sample of 84 African languages, organized in subsamples of genealogically related languages. The results of the investigation show that: (1) the gender systems of the sampled languages lean towards high complexity scores; (2) languages with purely semantic gender assignment tend to lack pervasive gender indexation; (3) languages with a high number of gender distinctions tend to exhibit pervasive gender indexation; (4) some of the uses of manipulable gender assignment are only attested in languages with a high number of gender distinctions and/or pervasive indexation. With respect to the distribution of the gender complexity scores, the results show that genealogically related languages tend to have the same or similar gender complexity scores. Languages that display exceedingly low or high gender complexity scores when compared with closely related languages exhibit distinctive sociolinguistic profiles (contact, bi- or multilingualism). The implications of these findings for the typology of gender systems and the crosslinguistic study of grammatical complexity and its distribution are discussed.

  • 2014. Francesca Di Garbo (et al.).

    This dissertation investigates interactions between gender and number and gender and evaluative morphology in a sample of 100 African languages, and provides a method for assessing the role that these interactions play in the grammatical complexity of gender systems. The dissertation is organised around three research foci.

    First, the dissertation surveys patterns of interaction between gender and number along the following dimensions: exponence, syncretism, indexation, correlations in type of marking, and gender assignment. The study provides evidence for the possibility that nominal features are organised in a relevance hierarchy. In addition, the study shows that animacy and lexical plurality play a crucial role in the distribution of special patterns of plural indexation. The study also shows that pervasive indexation systems in the language sample always involve both gender and number. Finally, the study shows how gender assignment can be used as a means for encoding variation in the countability properties of nouns and noun phrases.

    Second, the dissertation surveys patterns of interaction between gender and evaluative morphology in the languages of the sample. Two types of interactions are found. The study shows that the distribution of the two types depends on three factors: the type of gender system, the number of gender distinctions and the possibility of assigning a noun to more than one gender.

    Third, the dissertation investigates the role that interactions of gender and number and gender and evaluative morphology play in the absolute complexity of gender. The study proposes a metric for gender complexity and uses this metric to compute complexity scores for the languages of the sample. The results suggest that the gender systems of the language sample lean toward high complexity, that genealogically related languages have the same or similar complexity scores, and that the distribution of the outliers can often be understood as the result of language contact.

Visa alla publikationer av Francesca Di Garbo

Senast uppdaterad: 15 februari 2017

Bokmärk och dela Tipsa