Development and Pedagogical Applications of an Audio-Textual English-Spanish Parallel Literary Corpus for the Study of English Phonology

Abstract

The field of Data-Driven Learning (DDL) an approach to second language learning in which the student interacts directly with corpus data has made much progress in only the matter of a few decades. However, there are still certain frontiers that have thus far remained underexplored, mostly the result of limited technological capabilities for a good portion of the fields existence. Until now, DDL has mainly centered on text corpora, leaving aside such aspects of language learning as oral comprehension and speech production. This doctoral dissertation presents the LITTERA corpus, and examines in depth how this English-Spanish parallel literary speech corpus can be applied to language learning within the framework of DDL. The dissertation begins with a general overview of the current state of DDL, followed by a detailed description of the creation and design of the LITTERA crorpus. Then a series of potential pedagogical exercises are presented, aimed at showing how LITTERA can be applied to the learning of English phonology by Spanish-speaking students. The exercises set out to examine how the different features of English prosodyco-articulatory phenomena such as linking, blending, assimilation, elision, resyllabfication, palatization, as well as vowel reductioncan be studied in the data to improve students oral comprehension and speech production. Furthermore, possible DDL question prompts are proposed to explore the different features in the classroom.