LING 570 D: Shallow Processing Techniques for Natural Language Processing

Techniques and algorithms for associating relatively surface-level structures and information with natural language corpora, including POS tagging, morphological analysis, preprocessing/segmentation, named-entity recognition, chunk parsing, and word-sense disambiguation. Examines linguistic resources that can be leveraged for these tasks (e.g., WordNet). Prerequisite: a minimum grade of 2.7 in CSE 373; and either a minimum grade of 2.7 in MATH 394/STAT 394, a minimum grade of 3.0 in LING 473, or a passing grade on the CLMS placement exam. Offered: AW.