392138 Statistical Natural Language Processing (V) (SoSe 2013)

Contents, comment

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

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

  • 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 H1-111a 08.04.-19.07.2013

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Subject assignments

Module Course Requirements  
39-Inf-SNLP Statistical Natural Language Processing Introduction to Statistical Natural Language Processing Student information
- Graded examination 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.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Intelligente Systeme / Master (Enrollment until SoSe 2012) Semantic Web Wahlpflicht 2. 2 benotet  
Naturwissenschaftliche Informatik / Master (Enrollment until SoSe 2012) Semantic Web Wahlpflicht 2. 2 benotet  

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.

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SS2013_392138@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Tuesday, April 9, 2013 
Last update rooms:
Tuesday, April 9, 2013 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Department
Faculty of Technology
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