Titlebook: Generalized LR Parsing; Masaru Tomita Book 1991 Springer Science+Business Media New York 1991 Parsing.algorithms.complexity.grammar.hidden

PAN

Experiments with GLR and Chart Parsing,tence. The sentences are parsed word by word from left to right so that wrong input is detected immediately. After each word, the input device has to predict, with the help of the parser, all the words that can possibly continue the sentence that is being made. For our type of on-line parser, time i

FLUSH

Constitutional Confrontation in Hong Kongtence. The sentences are parsed word by word from left to right so that wrong input is detected immediately. After each word, the input device has to predict, with the help of the parser, all the words that can possibly continue the sentence that is being made. For our type of on-line parser, time i

nugatory

The Success of Judicial Review,This chapter develops a modified version of Tomita’s algorithm for parsing arbitrary context-free grammars with e-productions. It also describes the parsing of cyclic grammars within the frame of this algorithm.

掺假

coagulation

丰富

思想

Parallel GLR Parsing Based on Logic Programming,To provide an efficient parser for natural language sentences, a parallel parsing algorithm is desirable. By realizing this fact, this paper presents an efficient parallel parser which analyzes syntactic ambiguities of a natural language sentence parallely.

olfction

连词

https://doi.org/10.1007/978-1-4615-4034-2Parsing; algorithms; complexity; grammar; hidden markov model; logic programming; natural language; program

硬化

https://doi.org/10.1007/978-3-031-10665-1ghly efficient: it scans the input string in one pass and is able to detect errors at an early stage. The availability of parser generators and compiler compilers based on LR parsing technology [2, 4] further accentuated its popularity, since such tools are essential in practical systems where gramm