Abstract

This study is part of the IN.MIGRA-2 CM project, which studies the sociolinguistic integration of the immigrant population of Madrid. The present study focuses on the language attitudes of 16 residents of Alcalá de Henares, a community of Madrid. The participants were asked to rate their level of agreement with the following affirmations: (1) The Spanish of Madrid is more correct than the forms of speech of Latin American immigrants; (2) Mastery of the Spanish language is the principal demonstration of the integration of immigrants; (3) Immigrants of Latin American origin are integrated because they speak the same language. The study finds a connection between higher levels of contact with immigrants and lower ratings of agreement with the affirmations. This investigation supports others that show connections between social networks and language attitudes, and it adds to the sparse research on language attitudes in Madrid. Adverbial adjectives modify both a verb and the subject of that verb. Their purpose is to describe a quality that pertains to both the subject and the way the subject is performing the verb. Because they modify both the verb and the noun, adverbial adjectives agree with the noun in number and gender. The generativist approaches to this linguistic phenomenon do not provide a sufficient explanation of verb + adverbial adjective constructions nor do they predict which subjects and predicates that can be used in these constructions. This paper takes a usage-based approach to adverbial adjectives. It explores the token frequencies of use of different verb + adverbial adjective phrases and attempts to categorize the components of these phrases based on these frequencies.

Degree

MA

College and Department

Humanities; Spanish and Portuguese

Rights

http://lib.byu.edu/about/copyright/

Date Submitted

2017-04-01

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd9199

Keywords

immigrants, integration, language attitudes, Alcalá de Henares, adverbial adjectives, generative grammar, usage-based grammar, categories, chunking, token frequencies

Share

COinS