printer friendly pageLINGUIST 274C: Linguistic Field Methods: Syntax
Prerequisites include one quarter of phonology and one quarter of syntax or permission of instructor. Graduate students are heavily encouraged to make a commitment to both 274B and 274C in the same year
Last offered: Winter 2013
LINGUIST 275: Probability and Statistics for linguists
Introduction to probability and statistical inference, with a focus on conceptual and practical issues relevant to theoretical, experimental, and corpus linguistics. Data analysis and modeling using R. Course project will involve reproducing a published modeling result or statistical analysis in full detail.
Last offered: Winter 2015
LINGUIST 276: Quantitative Methods in Linguistics
Introduction to methods for collecting and analyzing quantitative linguistic data, with a primary focus on the use of corpora in exploring theoretical questions in various areas of linguistics. Topics include the access and retrieval of corpus data (including web-based corpora), data annotation, and statistical modeling. Practical experience with R, Python scripting, and setting up online experiments through Amazon Mechanical Turk.
LINGUIST 277: Laboratory Methods in Psycholinguistics
Issues that commonly arise in the design and implementation of linguistic experiments and in the statistical analysis of empirical results. Topics in experimental design include selection of stimuli, blocking, and power analysis and sample size calculation. How to fit and interpret statistical models using the multilevel regression and Bayesian inference, as implemented in software packages R and Bugs. Topics include interpretation of model coefficients for fixed and random effects, collinearity, model criticism, as well as comparison and reporting of models. Theoretical issues worked out at lab sessions using examples from experiments and corpus studies, including those provided by students.
LINGUIST 278: Programming for Linguists
Computer programming techniques for collecting and analyzing data in linguistic research. Introduction to the UNIX, regular expressions, and Python scripting. Hands-on experience gathering, formatting, and manipulating corpus, field, and experimental data, combining data from multiple sources, and working with existing tools. Knowledge of computer programming not required.
Last offered: Autumn 2013
LINGUIST 280: From Languages to Information (CS 124, LINGUIST 180)
Extracting meaning, information, and structure from human language text, speech, web pages, genome sequences, social networks. Methods include: string algorithms, edit distance, language modeling, the noisy channel, naive Bayes, inverted indices, collaborative filtering, PageRank. Applications such as question answering, sentiment analysis, information retrieval, text classification, social network models, machine translation, genomic sequence alignment, spell checking, speech processing, recommender systems. Prerequisite:
CS103,
CS107,
CS109.
Terms: Win
| Units: 3-4
Instructors:
Jurafsky, D. (PI)
;
Garcia, B. (TA)
;
Grace, M. (TA)
...
more instructors for LINGUIST 280 »
Instructors:
Jurafsky, D. (PI)
;
Garcia, B. (TA)
;
Grace, M. (TA)
;
Gupta, R. (TA)
;
Huang, B. (TA)
;
Lu, J. (TA)
;
McKenzie, K. (TA)
;
Silveira, N. (TA)
;
arivazhagan, N. (TA)
LINGUIST 281: Computational Models of Linguistic Formalism
This seminar will explore the computational properties of a small set of formalisms from phonology, morphology, syntax, and semantics, the choice depending on the interests of the participants. Possible topics include, but are not limited to, finite-state techniques, Optimality Theory, Unification-based grammar, Montague Grammar, Sound change, Corpus-based exploration, and Translation.
Terms: Win
| Units: 1-4
Instructors:
Kay, M. (PI)
LINGUIST 282: Computational Theories of Syntax (LINGUIST 182)
Salient features of modern syntactic theories, including HPSG, LFG, and TAG, motivated by computational concerns. Impact of work within these frameworks on the design of algorithms in computational linguistics, and its influence in both linguistics and computer science. Topics include: notions of unification; unification algorithms and their relation to linguistic theory; agenda-driven chart processing for analysis and synthesis; the interface with morphology, the lexicon, and semantics; and applications, notably machine translation.
Last offered: Winter 2010
LINGUIST 283: Basic Algorithms for Computational Linguistics
Foundational algorithms of non-statistical computational linguistics, including string searching, suffix trees and suffix arrays, finite-state technology for phonology, morphology and dictionary access, classical back-tracking programs for sentence analysis, the use of charts in parsing, generation and translation. Students complete a programming project in one of these areas.
Last offered: Winter 2012
LINGUIST 284: Natural Language Processing (CS 224N)
Methods for processing human language information and the underlying computational properties of natural languages. Syntactic and semantic processing from linguistic and algorithmic perspectives. Focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, translation, and interpretation; and representative systems. Prerequisites: CS124 or
CS121/221.
Terms: Aut
| Units: 3-4
Instructors:
Khandwala, N. (PI)
;
Manning, C. (PI)
;
Billovits, C. (TA)
...
more instructors for LINGUIST 284 »
Instructors:
Khandwala, N. (PI)
;
Manning, C. (PI)
;
Billovits, C. (TA)
;
Chen, D. (TA)
;
Eric, M. (TA)
;
Huang, J. (TA)
;
Nayak, N. (TA)
;
Paranjape, A. (TA)
Filter Results: