This course provides an introduction to cognitive psychology and neuroscience with an emphasis on topics relevant to the study of language. (Noun, feminine) the course of lectures in the course of lectures The course starts with an overview of the history of the human brain, describing the main functional areas, and the questions which arise out of our attempts to characterize function. We then step back to consider the unique developmental pattern associated with the human brain, and then consider what we know about the cognitive functions that arise out of human neural processing, cognitive development,
For assessment purposes, students will be required to write a series short (one-page) reviews, covering a subset of the topics. At the end of this course, participants will have acquired the background knowledge to enable them to consider linguistic questions in terms of the processing capabilities of the mind / brain.
- Dozierende: Michael Ramscar
- Dozierende: Walt Detmar Meurers
The purpose of this course is to introduce advanced students to scalable software architectures for natural language processing, in order to facilitate the move from toy examples in a few select languages to real data as it is produced by a multilingual and multicultural society. The course is split roughly in two: Part one gives an introduction to UIMA and its usage for a broad range of standard NLP tasks, and is accompanied by practical exercises covering interesting phenomena in many languages. In the second application-oriented part, we provide an introduction to the Google Web Toolkit (GWT) which has been very popular for building large web applications. In this part, students will pick a project for a multilingual application. Creative ideas are very welcome, but we are also happy to provide project ideas from our areas of interest, such as modeling learner language, localisation, translation memories and quality control, multilingual news aggregation, and derivational typology.
Introduction to linguistics for cognitive science
winter semester 2017, Tubingen
Lecture hall 002, Wilhelmstrasse 19
lecture series (3 ECTS)
October 24 Baayen phonetics
October 31 - -
November 7 Baayen phonology
November 14 Baayen auditory word recognition
November 21 Baayen morphology
November 28 Baayen morphological processing
December 5 Baayen syntax
December 12 Baayen language typology
December 19 Baayen semantics
January 9 Baayen language acquisition
January 16 Baayen language and ageing
January 23 Baayen dialectology
January 30 Baayen historical linguistics
February 6 Baayen language and thought
1. attendance in class;
2. a literature review (approximately 10 pages) on and evaluation of one of the topics covered in class
modeling series (3 ECTS)
October 26 Baayen interactive activation model
November 2 Nixon shifting phonetic categories (lecture)
November 9 Baayen reading out loud: DCP+ model
November 16 Baayen auditory word recognition: TRACE
November 23 Baayen auditory word recognition: NDL
November 30 Baayen morphology and naive discriminative learning
December 7 Baayen speech production: Dell, Levelt
December 14 Baayen speech production: Rumelhart & McClelland
December 21 Baayen semantics: LSA, word2vec
January 11 Baayen language acquisition: Bod, Ramscar
January 18 Baayen the consequences of experience
January 25 Baayen reading out loud: a single route model using NDL
February 1 Baayen animal communication and lexical learning
February 8 Baayen project reports
1. attendance in class;
2. introducing one journal article in class;
3. project report on modeling visual word recognition with the interactive activation model and with naive discriminative learning, for French, English, or Dutch; this can be collaborative work.
this seminar we want to have a look at known freely available Natural Language tool
kits like NLTK, SpaCy, Stanford's CoreNLP, OpenNLP and tools for specific tasks like
TreeTagger, Claws Tagger, Malt Parser, Charniak, Minipar parser, Watson parser,
Lappin Leass Coreference resolution, CherryPicker, Smmry, Summa and others. The
aim is to consider typical NLP tasks from PoS tagging and dependency parsing to
tasks of more abstract description levels like coreference resolution and
summarization, to study the specific theoretical background of respective
functions, to get insights into the corresponding implementations and to do
practical studies, test the performance and compare results to each other using
different appropriate corpora and quality measures.
- Dozierende: Kurt Eberle
This course provides an introduction to the sounds of Mandarin Chinese. We will read papers about the production or perception of consonants, vowels, or tones in Mandarin Chinese. The knowledge gained through this part of the course will be complemented with hands-on experience by processing sounds of Mandarin and data analysis. Previous knowledge of phonetics/phonology or Mandarin Chinese or analysing data is not required for this course.
- Dozierende: Ching-Chu Sun
Unsupervised machine learning is a collection of methods for inferring (hidden) structure from `unlabeled' data. Considering the labor-intensive and time-consuming nature of creating labeled data and the abundance of unlabeled data, it is clear that unsupervised methods are attractive in many fields, including in computational linguistics (CL) and natural language processing (NLP). Besides these practical motivations, unsupervised learning is also instrumental in investigating many problems of linguistics and cognitive sciences.
In this course we will study unsupervised methods for solving some of the typical NLP tasks such as tokenization, part-of-speech tagging, morphological analysis and parsing. We will also review some of the research-oriented applications of unsupervised methods in linguistics. For example, their use in modeling human language processing and acquisition, and investigating linguistic variation.
The course will take a practical approach. As well as reading and discussing some important and/or recent research, we will build practical models/applications during the course.
- Dozierende: Cagri Cöltekin