601.467/667 Introduction to Human Language Technology


Fall 2021

Coordinator: Philipp Koehn (phi@jhu.edu)
TA: Suzanna Sia (ssia1@jhu.edu)
CAs: TBD
Class: Tuesday and Thursday 9:00-10:15am, Ames 234
Office hours: Coordinator: TBD
Office hours: TBD
GradescopePiazzaLecture recordings

Assignments

  1. N-gram language modeling, CYK parsing: Due on October 1 (Friday)
  2. RNNLMs, word2vec: Due on October 22 (Friday)
  3. Seq2seq for pronunciation prediction: Due on November 5 (Friday)
  4. Speech recognition with CTC: Due on December 5 (Sunday)

Exam

There will be two mid-terms and final exam. The final exam time is December 13, 6pm, Gilman 50

Lectures

Date Topic Instructor
Tu Aug 31IntroductionKoehn
Text
Th Sep 2Words and Language ModelsYarowsky
Tu Sep 7MorphologyYarowsky
Th Sep 9SyntaxPost
Tu Sep 14SemanticsLippincott
Th Sep 16Deep learning IMurray
Tu Sep 21Deep learning II (Python notebook)Murray
Th Sep 23Distributional SemanticsKoehn
Tu Sep 28Machine TranslationMurray
Th Sep 30Information RetrievalDuh
Tu Oct 5Information ExtractionKoehn
Th Oct 7First Midterm Exam-
Speech
Tu Oct 12Auditory systemElhilali
Th Oct 14Speech basicsHermansky
Tu Oct 19Classic speech recognition1 (additional slides)Khudanpur
Tu Oct 26Signal processing (Chapter 6)Khudanpur
Th Oct 29Speaker recognitionDehak
Tu Nov 2Hands on: Kaldi (K2, ESPnet)Khudanpur
Th Nov 4End-to-end neural speech recognitionWatanabe
Tu Nov 9(no class)-
Th Nov 11Second Midterm Exam
Applications
Tu Nov 16Question AnsweringDuh
Th Nov 18NLP for Digital HumanitiesLippincott
Tu Nov 30Clinical NLPDredze
Th Dec 2Ethical ProblemsMoro-Velazquez
1These slides present an incomplete picture of what will be discussed in class. Attentive listening is recommended for gaining maximal benefit.