392142 Introduction to Statistical Natural Language Processing (V) (SoSe 2015)
Contents, comment
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In this lecture, students will acquire an understanding of basic methods, algorithms and techniques in the field of statistical natural language processing. We will in particular cover the following topics:
i) corpus work,
ii) language modelling,
iii) language identification,
iv) part-of-speech tagging,
v) spelling error correction,
vi) statistical parsing and v) machine translation.
Requirements for participation, required level
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Kenntnisse in folgenden Gebieten sind von Vorteil (aber keine Voraussetzung):
Algorithmen und Datenstrukturen, Grundkenntnisse Mathematik, Theoretische Informatik (insbes. Logik)
Die Vorlesung wird auf Englisch gehalten.
Bibliography
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- Chris Manning, Hinrich Schuetze: "Foundations of Statistical Natural Language Processing", MIT Press, Cambridge, May 1999. ISBN-10: 0262133601
- Daniel Jurafsky, James H. Martin: "Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition", Pearson Prentice Hall, second edition. ISBN-10: 0131873210
- John Chambers: "Software for Data Analysis: Programming with R", Springer, ISBN-10: 1441926127.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Fr | 10-12 | C01-148 | 07.04.-17.07.2015
not on: 5/1/15 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-SNLP Statistical Natural Language Processing | Exercises for Introduction to Statistical Natural Language Processing | Student information | |
| Introduction to Statistical Natural Language Processing | Student information | ||
| 39-M-Inf-TMKD Text Mining and Knowledge Discovery | Text Mining and Knowledge Discovery | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Bestehen der mündlichen oder schriftlichen Prüfung (2 LP) und erfolgreiche Bearbeitung der Übungsaufgaben (3,5 LP) sowie erfolgreiches Absolvieren des Seminars/Praktikums (4,5 LP) ergeben insgesamt 10 LP.
- Registered number: 10
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2015_392142@ekvv.uni-bielefeld.de
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- 2 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Monday, February 16, 2015
- Last update rooms:
- Monday, February 16, 2015
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Technology
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