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21 - 30 of 32 results for: LINGUIST

LINGUIST 259A: Introduction to Contact Linguistics

Language contact occurs when the speakers of two or more languages or varieties come interact with each other. In this introduction to Contact Linguistics, you will learn some of the structural outcomes of contact as they relate to the communities and individuals coming into contact. Prerequisites: Graduate standing or permission of instructor. Open to undergraduates with permission of instructor only.
Terms: Aut, Win | Units: 4
Instructors: Sims, N. (PI)

LINGUIST 259L: CVC Research Lab

Regular meetings of the Contact, Variation, and Change Research Lab. Meetings consist of presentations of research, discussions of readings, and collaborative research project work.
Terms: Aut, Win, Spr | Units: 1 | Repeatable 20 times (up to 20 units total)
Instructors: Sims, N. (PI)

LINGUIST 276E: Stanford Black Academic Lab: Community-Based Participatory Methods (AFRICAAM 488, CSRE 388, EDUC 488)

This lab-based course is an overview of research methods that are used in the development of Black educators, including survey research, individual and focus group interviews, ethnographic methods, and documentary activism. Lab participants will be guided through critical thinking about the professional and personal development of Black educators while assessing the utility and relevance of research-based responses to that development in partnership with a particular educational organization or agency.
Terms: Win | Units: 2-5

LINGUIST 280: From Languages to Information (CS 124, LINGUIST 180)

Extracting meaning, information, and structure from human language text, speech, web pages, social networks. Introducing methods (regex, edit distance, naive Bayes, logistic regression, neural embeddings, inverted indices, collaborative filtering, PageRank), applications (chatbots, sentiment analysis, information retrieval, question answering, text classification, social networks, recommender systems), and ethical issues in both. Prerequisites: CS106B, Python (at the level of CS106A), CS109 (or equivalent background in probability), and programming maturity and knowledge of UNIX equivalent to CS107 (or taking CS107 or CS1U concurrently).
Terms: Win | Units: 3-4

LINGUIST 284: Natural Language Processing with Deep Learning (CS 224N, SYMSYS 195N)

Methods for processing human language information and the underlying computational properties of natural languages. Focus on deep learning approaches: understanding, implementing, training, debugging, visualizing, and extending neural network models for a variety of language understanding tasks. Exploration of natural language tasks ranging from simple word level and syntactic processing to coreference, question answering, and machine translation. Examination of representative papers and systems and completion of a final project applying a complex neural network model to a large-scale NLP problem. Prerequisites: calculus and linear algebra; CS124, CS221, or CS229.
Terms: Win, Spr | Units: 3-4

LINGUIST 289L: Computational Linguistics Research Lab

Regular meetings of the members of the Jurafsky Lab.
Terms: Aut, Win, Spr | Units: 1 | Repeatable 20 times (up to 20 units total)
Instructors: Jurafsky, D. (PI)

LINGUIST 390: M.A. Project

Terms: Aut, Win, Spr, Sum | Units: 1-6 | Repeatable for credit

LINGUIST 396: Research Projects in Linguistics

Mentored research project for first-year graduate students in linguistics.
Terms: Win | Units: 2-3

LINGUIST 397: Directed Reading

Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

LINGUIST 398: Directed Research

Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit
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