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Thesis

Applying particle filtering to unsupervised part-of-speech induction

Abstract:

Statistical Natural Language Processing (NLP) lies at the intersection of Computational Linguistics and Machine Learning. As linguistic models incorporate more subtle nuances of language and its structure, standard inference techniques can fall behind. One such application is research on the unsupervised induction of part-of-speech tags. It has the potential to improve both our understanding of the plausibility of theories of first language acquisition, and Natural Language Processing appl...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Computational Linguistics
Oxford college:
Wolfson College
Role:
Author
More by this author
Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Division:
MPLS
Department:
Computer Science
Role:
Supervisor
Division:
MPLS
Department:
Computer Science
Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
Language:
English
Keywords:
Subjects:
UUID:
uuid:48caedb6-478f-4bb0-8ca7-975ee7fe5e38
Local pid:
ora:11645
Deposit date:
2015-06-12

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