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Processing Left Extraposition in a Bottom-Up Parsing System
Satoshi Kinoshita, Hozumi Tanaka
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Parallel Bottom-up Tomita parsing
1997In the previous chapter we have derived the parsing schema LR(0) and concluded that the differences with Earley are trivial details. Hence there is a structural correspondence between Earley chart parser and generalized LR parsers. This correspondence can be used to cross-fertilize different variants of either kind algorithm. A particularly interesting
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A parsing method for context‐free languages using bottom‐up lookahead computation
Systems and Computers in Japan, 1996AbstractA new parsing algorithm of context‐free languages using bottom‐up computation of lookahead information is presented. Earley's algorithm uses a great number of items during enumeration to recognize a context‐free language. If items with lookahead fields are used, the number of items can be reduced, but item spacing is considerably increased. The
Takehiro Tokuda, Yoshimichi Watanabe
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RETE and chart parsing from bottom-up call-graph caching
[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91, 2002A new mechanism is presented for graph instantiation. It is used to investigate various bottom-up data-driven AI algorithms. The author views instances as fairly autonomous objects that inherit graph information (e.g. links or relations) from their classes. Instances themselves can be instantiated.
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A bottom-up adaptation of earley's parsing algorithm
1989in this paper we have described a new, bottom-up, parsing algorithm, derived from the standard Earley's algorithm. It is easier to understand and more efficient, thanks to the precomputation of some closure relations and to the minimization of the number of items that it computes, and yields an improved practical efficiency and a better error ...
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A modification of the LR(k) method for constructing compact bottom-up parsers
Esko Ukkonen
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