hammond

Image
hammond@arizona.edu
Phone
(520) 621-5759
Office
Douglass 308
Hammond, Mike
Professor

Home Department: Linguistics

SLAT Areas of Specialization: Cognitive Dimensions of L2 Learning, Linguistic Dimensions of L2 Learning, Technology in Second Language Teaching Minor/Certificate

Dr. Hammond is a professor in the Department of Linguistics. He also has appointments in the Cognitive Science Program and the Second Language Acquisition and Teaching Program. His research is in the areas of phonology, psycholinguistics, computational linguistics, Welsh, Scottish Gaelic, and poetic meter.

Area of Specialization
Cognitive dimensions of L2 learning
Linguistic dimensions of L2 learning
Technology in Second Language Teaching (minor)

Currently Teaching

LING 696B – Topics in Phonology and Phonetics

The development and exchange of scholarly information, usually in a small group setting examining in depth topics in phonological and phonetic theory and experimentation. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers.

SLAT 699 – Independent Study

Qualified students working on an individual basis with professors who have agreed to supervise such work. Graduate students doing independent work which cannot be classified as actual research will register for credit under course number 699 or 799.

SLAT 920 – Dissertation

Research for the doctoral dissertation (whether library research, laboratory or field observation or research, artistic creation, or dissertation writing).

Research for the doctoral dissertation (whether library research, laboratory or field observation or research, artistic creation, or dissertation writing).

Research for the doctoral dissertation (whether library research, laboratory or field observation or research, artistic creation, or dissertation writing).

LING 538 – Computational Linguistics

Fundamentals of formal language theory; syntactic and semantic processing; the place of world knowledge in natural language processing. Graduate-level requirements include a greater number of assignments and a higher level of performance.

LING 578 – Speech Technology

Topics include speech synthesis, speech recognition, and other speech technologies. This course gives students background for a career in the speech technology industry. Graduate students will do extra readings, extra assignments, and have an extra presentation. Their final project must constitute original work in a speech technology.

Topics include speech synthesis, speech recognition, and other speech technologies. This course gives students background for a career in the speech technology industry. Graduate students will do extra readings, extra assignments, and have an extra presentation. Their final project must constitute original work in a speech technology.

Topics include speech synthesis, speech recognition, and other speech technologies. This course gives students background for a career in the speech technology industry. Graduate students will do extra readings, extra assignments, and have an extra presentation. Their final project must constitute original work in a speech technology.

LING 539 – Statistical Natural Language Processing

This course introduces the key concepts underlying statistical natural language processing. Students will learn a variety of techniques for the computational modeling of natural language, including: n-gram models, smoothing, Hidden Markov models, Bayesian Inference, Expectation Maximization, Viterbi, Inside-Outside Algorithm for Probabilistic Context-Free Grammars, and higher-order language models. Graduate-level requirements include assignments of greater scope than undergraduate assignments. In addition to being more in-depth, graduate assignments are typically longer and additional readings are required.