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6.892 Computational Models of Discourse (MIT) 6.892 Computational Models of Discourse (MIT)

Description

This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing. This subject qualifies as an Artificial Intelligence and Applications concentration subject. This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing. This subject qualifies as an Artificial Intelligence and Applications concentration subject.

Subjects

automatic discourse processing | automatic discourse processing | natural language | natural language | speech processing | speech processing | discourse structure | discourse structure | models of coherence and cohesion | models of coherence and cohesion | plan recognition algorithms | plan recognition algorithms | text segmentation | text segmentation | symbolic learning | symbolic learning | machine learning | machine learning | discourse analysis | discourse analysis | dialogue systems | dialogue systems | automatic essay writing | automatic essay writing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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21A.150 Teaching and Learning: Cross-Cultural Perspectives (MIT) 21A.150 Teaching and Learning: Cross-Cultural Perspectives (MIT)

Description

This course explores the diverse ways that people teach and learn—in different countries, in different disciplines, and in different subcultures. We will discuss how theories of learning can be applied to a variety of hands-on, in-class learning activities. We compare schooling to other forms of knowledge transmission from initiation and apprenticeship to recent innovations in online education such as MOOCs. Students will employ a range of qualitative methods in conducting original research on topics of their choice. This course explores the diverse ways that people teach and learn—in different countries, in different disciplines, and in different subcultures. We will discuss how theories of learning can be applied to a variety of hands-on, in-class learning activities. We compare schooling to other forms of knowledge transmission from initiation and apprenticeship to recent innovations in online education such as MOOCs. Students will employ a range of qualitative methods in conducting original research on topics of their choice.

Subjects

teaching | teaching | learning | learning | culture | culture | cross-cultural perspectives | cross-cultural perspectives | subcultures | subcultures | schooling | schooling | initiation | initiation | apprenticeship | apprenticeship | education | education | online education | online education | MOOCs | MOOCs | interviewing | interviewing | observation | observation | ethnography | ethnography | discourse analysis | discourse analysis | socialization | socialization | social learning | social learning | ritual | ritual | rites of passage | rites of passage | imitation | imitation | improvisation | improvisation | creativity | creativity | language | language | personhood | personhood | identity | identity | cognition | cognition | perception | perception

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Language Change

Description

During this lesson, we will discuss how language changes according to context and literacy as social practice. We will also develop the tools to consider how language is used in the formation, maintenance and transformation of social, cultural, political and religious identities and relationships. Finally, we will apply this knowledge to teaching and learning, particularly thinking about issues of language and power/influence.

Subjects

critical discourse analysis | situated literacy | morphology | yoofspeak | EDUCATION / TRAINING / TEACHING | G

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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21A.150 Teaching and Learning: Cross-Cultural Perspectives (MIT)

Description

This course explores the diverse ways that people teach and learn—in different countries, in different disciplines, and in different subcultures. We will discuss how theories of learning can be applied to a variety of hands-on, in-class learning activities. We compare schooling to other forms of knowledge transmission from initiation and apprenticeship to recent innovations in online education such as MOOCs. Students will employ a range of qualitative methods in conducting original research on topics of their choice.

Subjects

teaching | learning | culture | cross-cultural perspectives | subcultures | schooling | initiation | apprenticeship | education | online education | MOOCs | interviewing | observation | ethnography | discourse analysis | socialization | social learning | ritual | rites of passage | imitation | improvisation | creativity | language | personhood | identity | cognition | perception

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.892 Computational Models of Discourse (MIT)

Description

This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing. This subject qualifies as an Artificial Intelligence and Applications concentration subject.

Subjects

automatic discourse processing | natural language | speech processing | discourse structure | models of coherence and cohesion | plan recognition algorithms | text segmentation | symbolic learning | machine learning | discourse analysis | dialogue systems | automatic essay writing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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