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- W1549123485 abstract "The complexity of parsing English sentences can be reduced by decomposing the prob lem into three subtasks Declarative sentences can almost always be segmented into three concatenated sections pre subject subject predicate Other constituents such as clauses phrases noun groups are contained within these segments but do not normally cross the boundaries between them Though a constituent in one section may have dependent links to elements in other sections such as agreement between the head of the subject and the main verb once the three sections have been located they can then be partially processed separately in parallel An information theoretic analysis is used to support this approach If sentences are represented as sequences of part of speech tags then modelling them with the tripartite segmentation reduces the entropy This indicates that some of the structure of the sentence has been captured The tripartite segmentation can be produced automatically using the ALPINE parser which is then described This is a hybrid processor in which neural networks operate within a rule based framework It has been developed using corpora from technical manuals Performance on unseen data from the manuals on which the processor was trained are over On data from other technical manuals performance is over" @default.
- W1549123485 created "2016-06-24" @default.
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- W1549123485 date "1997-09-17" @default.
- W1549123485 modified "2023-09-23" @default.
- W1549123485 title "Reducing the Complexity of Parsing by a Method of Decomposition." @default.
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