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- W3037950604 abstract "In this work we introduce the notion of path set for parsing free word order languages. The parsing system uses this notion to parse examples of sentences with scrambling. We show that by using path set, the performance constraints on scrambling such as Resource Limitation Principle (RLP) can be represented easily. Our work contrasts with models based on the notion of immediate dominance rule and binary precedence relations. In our work the precedence relations and word order constraints are defined locally for each clause. Our binary precedence relations are examples of fuzzy relations with weights attached to them. As a result, the word order principles in our approach can be violated and each violation contributes to a lowering of the overall acceptability and grammaticality. The work suggests a robust principle-based approach to parsing ambiguous sentences in verb final languages." @default.
- W3037950604 created "2020-07-02" @default.
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- W3037950604 date "2000-02-23" @default.
- W3037950604 modified "2023-09-24" @default.
- W3037950604 title "Parsing Scrambling with Path Set: a Graded Grammaticality Approach." @default.
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