This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. The subject qualifies as an Artificial Intelligence and Applications concentration subject.

The German Frame-semantic Online Lexicon (G-FOL) is a prototype of a new kind of pedagogical dictionary. The goal is to help students learn how words are used in modern-day German. This online resource is different from traditional dictionaries and textbooks because it is based on the German FrameNet at the University of Texas at Austin, a digital archive of how German words are used in real life contexts. As such, students can easily access up-to-date information about the syntactic, semantic, and pragmatic contexts in which a German word appears. In addition, each lexical entry provides information about a word’s register, frequency, and related meanings. Thanks to G-FOL’s web-based architecture, the lexicon easily links to other pedagogical resources in digital format and can be updated with new words or new usages of existing words.

This course studies what is language and what does knowledge of a language consist of. It asks how do children learn languages and is language unique to humans; why are there many languages; how do languages change; is any language or dialect superior to another; and how are speech and writing related. Context for these and similar questions is provided by basic examination of internal organization of sentences, words, and sound systems. No prior training in linguistics is assumed.

Hands-on experience designing, conducting, analyzing, and presenting experiments on the structure and processing of human language. Focuses on constructing, conducting, analyzing, and presenting an original and independent experimental project of publishable quality. Develops skills in reading and writing scientific research reports in cognitive science, including evaluating the methods section of a published paper, reading and understanding graphical displays and statistical claims about data, and evaluating theoretical claims based on experimental data. Instruction and practice in oral and written communication provided.

This course provides an overview of the distinctive features which distinguish sound categories of languages of the world. Theories which relate these categories to their acoustic and articulatory correlates, both universally and in particular languages, are covered. Models of word recognition by listeners, features, and phonological structure are also discussed. In addition, the course offers a variety of perspectives on these issues, drawn from Electrical Engineering, Linguistics and Cognitive Science.

Psychology is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.Senior Contributing AuthorsRose M. Spielman, Formerly of Quinnipiac UniversityContributing AuthorsKathryn Dumper, Bainbridge State CollegeWilliam Jenkins, Mercer UniversityArlene Lacombe, Saint Joseph's UniversityMarilyn Lovett, Livingstone CollegeMarion Perlmutter, University of Michigan

By the end of this section, you will be able to:Define language and demonstrate familiarity with the components of languageUnderstand how the use of language developsExplain the relationship between language and thinking