Ruprecht-Karls-Universität Heidelberg
Institut für Computerlinguistik

Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg

Neural Machine Translation

Module Description

Course Module Abbreviation Credit Points
BA-2010 AS-CL 8 LP
Master SS-CL, SS-TAC 8 LP
Seminar Informatik BA + MA 4 LP
Anwendungsgebiet Informatik MA 8 LP
Anwendungsgebiet SciComp MA 8 LP
Lecturer Stefan Riezler
Module Type Hauptseminar
Language English
First Session 21.04.2022
Time and Place Donnerstag, 10:15–11:45
INF 328 / SR25
Commitment Period tbd.

Prerequisite for Participation

Good knowledge of statistical machine learning (e.g., by successful completion of courses "Statistical Methods for Computational Linguistics" and/or "Neural Networks: Architectures and Applications for NLP") and experience in experimental work (e.g., software project or seminar implementation project)


  • Regular and active participation
  • Oral presentation
  • Implementation project or written term paper


Neural machine translation -- the automatic translation of text or speech from one natural language into another -- has made a major qualitative leap in recent years, enabling the transition from machine translation as an AI-complete problem to a commodity tool that is widely used by industry and private persons. The goal of this seminar is to gain a thorough understanding of this success story by investigating the central building blocks of neural machine translation, including - neural encoder-decoder architectures for translation, - input encodings, - training methods, - decoding paradigms, - issues and methods for interpretability, and other topics.


A reading list of relevant publications will be made available in the first session of the seminar.


Please enroll at the CL enrollment page until April 20, 2022, 23:59.

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