Learning Parse and Translation Decisions From Examples With Rich Context

Details Learning Parse and Translation Decisions From Examples With Rich Context Learning Parse and Translation Decisions From Examples With Rich Context

1997-06-05

arxiv.org/abs/cmp-lg/9706002v1

Proceedings of ACL/EACL'97

Computer Science

Computation and Language

8 pages, LaTeX, 3 postscript figures, uses aclap.sty

Scientific paper

We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features which describe the morphological, syntactic, semantic and other aspects of a given parse state.

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