Linguistics

Collaborate to produce a coherent analysis of linguistic data.

Communicate original analyses of linguistic data in a field-appropriate medium (research paper, oral presentation, or poster) using commonly accepted formal frameworks (understood broadly).

Demonstrate command over formal frameworks (understood broadly)

Demonstrate command over research techniques in linguisticsi.e., students should be able to answer research questions via syntactic, semantic, or phonological analysis; by designing and executing a simple experiment; or by active participation in other kinds of research used by linguists.

Participate in a meaningful learning experience that prepares the student to meet his/her goals after earning a linguistics degree.

Identify the import of one's own analyses for our understanding of language, people, or society as a whole.

Computational Linguistics emphasis: Linguistic knowledge. Know the core areas of theoretical and empirical linguistics and how the discoveries of these fields are critical to the technology behind search engines, digital libraries, speech recognition, speech synthesis, part-of-speech taggers, syntactic parsers, machine translation, text classification, linguistic data mining, and other forms of Natural Language Processing (NLP)

Computational Linguistics emphasis: Computational knowledge. Know the core data structures and computational algorithms used in NLP

TESOL emphasis: Know the core areas of theoretical research in second language acquisition.

TESOL emphasis: Show how discoveries in the field of second language acquisition are critical to the development of effective lesson plans and classroom pedagogy practices for language learners.