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MET LX 590: Topics in Linguistics
Topics and pre-requisites vary by semester and section. May be repeated for credit as topics change. A1. Topic for Spring 2024: Truth. This course grapples with how to understand the notion of truth, incorporating perspectives from ancient to modern times. We'll consider puzzles related to the language surrounding racism, lying vs. other forms of deception, vagueness, partial truths, the future tense, presupposition, subjective language about opinions, bullshit, and dogwhistles. [Prereq: CAS LX 250 or consent of instructor] B1..Topic for Spring 2024: Metrics and Evaluation in Natural Language Processing. Much recent progress has been made in Natural Language Processing, sometimes accompanied by descriptions like "human-level performance." This course serves as an introduction to how "progress" is measured and evaluated, and invites broader discussions about claims of human parity. 4 cr. [Prereqs: CAS LX 250, Introduction to Linguistics, and CAS LX 496/GRS LX 796, Computational Linguistics, or equivalent, by consent of the instructor.] -
MET LX 591: Linguistic Field Methods
A team-based in-depth investigation of the phonology, morphology, syntax, semantics, and lexicon of an African or other non-Indo-European language. Bi-weekly sessions with language consultant. Weekly trainings on methodology, ethics, analysis, and presentation of results. Effective Spring 2021, this course fulfills a single unit in each of the following BU Hub areas: Ethical Reasoning, Global Citizenship and Intercultural Literacy, Teamwork/Collaboration. -
MET LX 594: Introduction to Programming for Computational Linguistics
Prereq: (METLX250) or consent of instructor. Introduction to computational techniques to explore linguistic models and test empirical claims. Serves as an introduction to programming, algorithms, and data structures, focused on modern applications to Natural Language Processing (NLP). Topics include tagging and classification, parsing models, meaning representation, and information extraction. (Not intended for students with a background in programming or computer science.) Carries MCS divisional studies credit in CAS. Effective Fall 2019, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Research and Information Literacy. -
MET LX 596: Computational Linguistics
Prereq:(METLX250) or consent of instructor. Introduction to computational techniques to explore linguistic models and test empirical claims. Serves as an introduction to concepts, algorithms, data structures, and tool libraries. Topics include tagging and classification, parsing models, meaning representation, corpus creation, information extraction. [Students who have already taken CAS LX 394/GRS LX 694 are not eligible to take this course.] Effective Fall 2019, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Research and Information Literacy.
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