Machine Translation and
Sequence-to-sequence Models

Class Introduction (8/27/2019)

n-gram LMs (8/29/2019)

Neural LMs (9/3/2019)

Encoder Decoder Models (9/5/2019)

Attention (9/10/2019)

Self Attention/CNNs (9/12/2019)

Evaluating Output (9/17/2019)

Adaptation -- by Chenhui Chu (9/19/2019)

Syntax/Morphology -- David Mortensen (9/24/2019)

Subword Models (9/26/2019)

Multilingual Learning (10/1/2019)

Languages of the World (10/3/2019)

Parameter Optimization (10/8/2019)

Semi-supervised and Unsupervised Methods (10/10/2019)

Advances in Transformers -- Niki Parmar (10/15/2019)

Practical NMT -- Marcin Junczys-Dowmunt (10/17/2019)

Applications: Monolingual Transduction Tasks (10/22/2019)

Applications: Speech (10/24/2019)

Applications: Dialog (10/29/2019)

Word Alignment (10/31/2019)

Monotonic Transduction and WFSTs (11/5/2019)

Phrase-based Translation (11/7/2019)

Hybrid Neural/Symbolic Models (11/12/2019)

Multi-task Learning Methods (11/14/2019)

Quality Estimation and Adaptively Sparse Transformers -- João Graça and André Martins (11/19/2019)

Robust Machine Translation (11/21/2019)

Document-level Models (11/26/2019)

Thanksgiving -- NO CLASS (11/28/2019)

Project Presentations (12/3/2019 and 12/5/2019)

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