The search functionality is under construction.
The search functionality is under construction.

Probabilistic Treatment for Syntactic Gaps in Analytic Language Parsing

Prachya BOONKWAN, Thepchai SUPNITHI

  • Full Text Views

    0

  • Cite this

Summary :

This paper presents a syntax-based framework for gap resolution in analytic languages. CCG, reputable for dealing with deletion under coordination, is extended with a memory mechanism similar to the slot-and-filler mechanism, resulting in a wider coverage of syntactic gaps patterns. Though our grammar formalism is more expressive than the canonical CCG, its generative power is bounded by Partially Linear Indexed Grammar. Despite the spurious ambiguity originated from the memory mechanism, we also show that its probabilistic parsing is feasible by using the dual decomposition algorithm.

Publication
IEICE TRANSACTIONS on Information Vol.E94-D No.3 pp.440-447
Publication Date
2011/03/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E94.D.440
Type of Manuscript
Special Section PAPER (Special Section on Knowledge Discovery, Data Mining and Creativity Support System)
Category

Authors

Keyword