Our team is giving a series of lectures and seminars with a focus on enterprise systems design and in-memory data management. Strong links to the industry ensure a close connection between theory and its implementation in the real world.

If you are having questions regarding one of our publications, please contact the authors.

Machine Translation

General information

Overall responsibility: Dr. Mariana Neves
Location: D-E.9/10
Time: Mon 15:15 - 16:45
First lecture: Mon October 17th, 2016
2 Semesterwochenstunden (SWS)
3 ECTS (graded)

Grading

60% project (in teams)

40% final exam

Books

Statistical Machine Translation, Philipp Koehn, Cambridge University Press, 2010

Speech and Natural Language Processing, Daniel Jurafsky and James H. Martin, Prentice Hall, 2008

Machine Translation, Pushpak Bhattacharyya, Chapman and Hall/CRC; Har/Psc edition

Lectures

(Program is subject to change)

Week	Date	Topic
1	Oct 17, 2016	Introduction to Machine Translation
2	Oct 24, 2016	Words, sentences and corpora
3	Oct 31, 2016	(Reformationstag)
4	Nov 7, 2016	Lexical Translation and Alignment; Word-Based Models
5	Nov 14, 2016	Word alignment; Statistical phrase-based models
6	Nov 21, 2016	Decoding
7	Nov 28, 2016	Language model (room V-2.16!)
8	Dec 5, 2016	Evaluation
9	Dec 12, 2016	(no lecture)
10	Jan 2, 2017	Mid-term presentation of projects
11	Jan 9, 2017	(no lecture)
12	Jan 16, 2017	Rule-based MT
13	Jan 23, 2017	Example-based MT
14	Jan 30, 2017	Neural MT
15	Feb 6, 2017	(no lecture)
16	Feb 13, 2017	Final exam
17	Feb 20, 2017	Final presentation of projects

Projects

(coming soon)

Link to tasks in the Conference on Machine Translation

News

22.09.2023 | Trends and Concepts in the Softwareindustry Seminar offered in WiSe 2023/2024

Trends and Concepts in the Softwareindustry Seminar offered in WiSe 2023/2024 > Zum Artikel

22.05.2023 | Christopher Hagedorn Successfully Defended His PhD Thesis

Christopher Hagedorn Successfully Defended His PhD Thesis > Zum Artikel

03.03.2023 | Last Trends and Concepts course of Prof. Hasso Plattner

After more than 20 years of teaching, our founder and benefactor Prof. Hasso Plattner visited the HPI this week for his … > Zum Artikel

01.03.2023 | Jan Kossmann Successfully Defended His PhD Thesis

Last week, Jan Kossmann another PhD student of our EPIC group successfully defended his thesis on the topic of … > Zum Artikel

26.02.2023 | Paper on Data Tiering in Hyrise Published in BTW Proceedings

Our latest paper on data tiering in Hyrise "Workload-Driven Data Placement for Tierless In-Memory Database Systems" by … > Zum Artikel

24.02.2023 | Paper on EPIC Research Group Published in SIGMOD Record

Our report “Enterprise Platform and Integration Concepts Research at HPI” has been published in the December issue of … > Zum Artikel

30.11.2022 | Paper on Database Optimizations for Spatio-Temporal Data published in PVLDB

Our paper “Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems” has been published in … > Zum Artikel

04.10.2022 | Günter Hesse Successfully Defended His PhD Thesis

Last week, Günter Hesse another PhD student of our EPIC group successfully defended his thesis on the topic of "A … > Zum Artikel

08.07.2022 | Successful PhD Defense by Markus Dreseler

Markus Dreseler has successfully defended his PhD thesis on Automatic Tiering for In-Memory Database Systems. > Zum Artikel

Literature

"A Course in In-Memory Data Management" by Prof. Dr. h.c. Hasso Plattner. This book is the culmination of six years work of in-memory research. As such, it provides the technical foundation for combined transactional and analytical workloads inside one single database as well as examples of new applications that are now possible given the availability of the new technology. The book is available at Springer.