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31 - 40 of 48 results for: LINGUIST

LINGUIST 245B: Methods in Psycholinguistics

Over the past ten years, linguists have become increasingly interested in testing theories with a wider range of empirical data than the traditionally accepted introspective judgments of hand-selected linguistic examples. Consequently, linguistics has seen a surge of interest in psycholinguistic methods across all subfields. This course will provide an overview of various standard psycholinguistic techniques and measures, including offline judgments (e.g., binary categorization tasks like truth-value judgments, Likert scale ratings, continuous slider ratings), response times, reading times, eye-tracking, ERPs, and corpus methods. Students will present and discuss research articles. Students will also run an experiment (either a replication or an original design, if conducive to the student¿s research) to gain hands-on experience with experimental design and implementation in html/javascript and Mechanical Turk; data management, analysis, and visualization in R; and open science tools like git/github.
Terms: Spr | Units: 4 | Grading: Letter or Credit/No Credit
Instructors: Degen, J. (PI)

LINGUIST 252: Sociolinguistics and Pidgin Creole Studies (LINGUIST 152)

Introduction to pidgins and creoles, organized around the main stages in the pidgin-creole life cycle: pidginization, creolization, and decreolization. Focus is on transformations in the English language as it was transported from Britain to Africa, Asia, the Caribbean, and the Pacific. Resultant pidginized and creolized varieties such as Nigerian Pidgin English, Chinese Pidgin English, New Guinea Tok Pisin, Suriname Sranan, and the creole continua of Guyana, Jamaica, and Hawaii. Also French, Dutch, Portugese, Chinook, Motu, and Sango.
Terms: Win | Units: 2-4 | Grading: Letter or Credit/No Credit
Instructors: Rickford, J. (PI)

LINGUIST 255L: Seminar in Sociolinguistics: Multiracial Identity in Variation Studies

This course confronts the challenge of investigating linguistic variation among multiracial speakers. Hands-on individual and collaborative projects using the voices of California corpus. Prerequisite: Linguistics 258 or equivalent, no exceptions.
Terms: Spr | Units: 1-4 | Grading: Letter or Credit/No Credit
Instructors: Podesva, R. (PI)

LINGUIST 257: Sociophonetics (LINGUIST 157)

The study of phonetic aspects of sociolinguistic variation and the social significance of phonetic variation. Acoustic analysis of vowels, consonants, prosody, and voice quality. Hands-on work on collaborative research project. Prerequisite: 105, 110 or equivalent, or consent of instructor.
Terms: Win | Units: 1-4 | Grading: Letter or Credit/No Credit
Instructors: Podesva, R. (PI)

LINGUIST 260B: Historical Morphosyntax

Morphological and syntactic variation and change. Reanalysis, grammaticalization. The use of corpora and quantitative evidence. This is a 4-unit course. May be taken for fewer units with prior approval of the instructor.
Terms: Spr | Units: 2-4 | Grading: Letter or Credit/No Credit

LINGUIST 265: African American Vernacular English (AFRICAAM 21, CSRE 21, LINGUIST 65)

Vocabulary, pronunciation and grammatical features of the systematic and vibrant vernacular English [AAVE] spoken by African Americans in the US, its historical relation to British dialects, and to English creoles spoken on the S. Carolina Sea Islands (Gullah), in the Caribbean, and in W. Africa. The course will also explore the role of AAVE in the Living Arts of African Americans, as exemplified by writers, preachers, comedians and actors, singers, toasters and rappers, and its connections with challenges that AAVE speakers face in the classroom and courtroom. Service Learning Course (certified by Haas Center). UNITS: 3-5 units. Most students should register for 4 units. Students willing and able to tutor an AAVE speaking child in East Palo Alto and write an additional paper about the experience may register for 5 units, but should consult the instructor first. Students who, for exceptional reasons, need a reduced course load, may request a reduction to 3 units, but more of their course grade will come from exams, and they will be excluded from group participation in the popular AAVE Happenin at the end of the course.
Terms: Spr | Units: 3-5 | Grading: Letter or Credit/No Credit

LINGUIST 272: Structure of Finnish

Central topics in Finnish morphology, syntax, and semantics and how they bear on current theoretical debates. Topics: clause structure; case; aspect; word order.
Terms: Win | Units: 2-4 | Grading: Letter or Credit/No Credit

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

Extracting meaning, information, and structure from human language text, speech, web pages, social networks. Methods include: string algorithms, edit distance, language modeling, the noisy channel, machine learning classifiers, inverted indices, collaborative filtering, neural embeddings, PageRank. Applications such as question answering, sentiment analysis, information retrieval, text classification, social network models, spell checking, recommender systems, chatbots. Prerequisites: CS103, CS107, CS109.
Terms: Win | Units: 3-4 | Grading: Letter or Credit/No Credit

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

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 or CS121/221.
Terms: Win | Units: 3-4 | Grading: Letter or Credit/No Credit

LINGUIST 286: Information Retrieval and Web Search (CS 276)

Text information retrieval systems; efficient text indexing; Boolean, vector space, and probabilistic retrieval models; ranking and rank aggregation; evaluating IR systems; text clustering and classification; Web search engines including crawling and indexing, link-based algorithms, web metadata, and question answering; distributed word representations. Prerequisites: CS 107, CS 109, CS 161.
Terms: Spr | Units: 3 | Grading: Letter or Credit/No Credit
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