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In this approach, constituent parsing is modelled like machine translation: the task is sequence-to-sequence conversion from the sentence to a constituency parse, in the original paper using a deep LSTM with an attention mechanism. The gold training trees have to be linearised for this kind of model, but the conversion does not lose any ...
GLR parser: an algorithm for parsing any context-free grammar by Masaru Tomita. It is tuned for deterministic grammars, on which it performs almost linear time and O(n 3) in worst case. Inside-outside algorithm: an O(n 3) algorithm for re-estimating production probabilities in probabilistic context-free grammars; LL parser: a relatively simple ...
Treebanks can be created completely manually, where linguists annotate each sentence with syntactic structure, or semi-automatically, where a parser assigns some syntactic structure which linguists then check and, if necessary, correct. In practice, fully checking and completing the parsing of natural language corpora is a labour-intensive ...
The standard version of CYK operates only on context-free grammars given in Chomsky normal form (CNF). However any context-free grammar may be algorithmically transformed into a CNF grammar expressing the same language (Sipser 1997). The importance of the CYK algorithm stems from its high efficiency in certain situations.
A model of sentence processing can be found in Hale (2011)'s 'rational' Generalized Left Corner parser. [14] This model derives garden path effects as well as local coherence phenomena. Computational modeling can also help to relate sentence processing to other functions of language.
A grammar checker will find each sentence in a text, look up each word in the dictionary, and then attempt to parse the sentence into a form that matches a grammar. Using various rules, the program can then detect various errors, such as agreement in tense, number, word order, and so on. It is also possible to detect some stylistic problems ...
A weighted context-free grammar (WCFG) is a more general category of context-free grammar, where each production has a numeric weight associated with it. The weight of a specific parse tree in a WCFG is the product [ 7 ] (or sum [ 8 ] ) of all rule weights in the tree.
The UD annotation scheme produces syntactic analyses of sentences in terms of the dependencies of dependency grammar. Each dependency is characterized in terms of a syntactic function, which is shown using a label on the dependency edge. For example: [5] This analysis shows that she, him, and a note are dependents of the left.
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