teaching

Neural techniques for speech synthesis (TTS) and automatic speech recognition (ASR/STT). Hands-on implementation of neural speech systems on HPC.

Continuation of LING 538, covering formal grammars, syntactic parsing, treebanks, and lexical networks (WordNet). Symbolic and analytic methods for natural language.

Introduction to symbolic and analytic methods for computational linguistics: regular expressions, finite state automata, and context-free grammars. Programming in Perl, Python, and Prolog.

Statistical and machine learning methods for natural language processing, including classification, sequence modeling, and neural approaches.

Introduction to the scientific study of language, covering phonetics, phonology, morphology, syntax, semantics, and language in society.