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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1...3 4 5 6 7 Hits 121 – 125 of 125 121 Dependency Parsing of Turkish ... Eryigit, Gulsen; Nivre, Joakim; Oflazer, Kemal. - : Carnegie Mellon University, 2008 BASE Show details 122 Bootstrapping Morphological Analyzers by Combining Human Elicitation and Machine Learning ... Oflazer, Kemal; McShane, Marjorie; Nirenburg, Sergei. - : Carnegie Mellon University, 2001 BASE Show details 123 Bootstrapping Morphological Analyzers by Combining Human Elicitation and Machine Learning ... Oflazer, Kemal; McShane, Marjorie; Nirenburg, Sergei. - : Carnegie Mellon University, 2001 Abstract: This paper presents a semiautomatic technique for developing broad-coverage finite-state morphological analyzers for use in natural language processing applications. It consists of three components--elicitation of linguistic information from humans, a machine learning bootstrapping scheme, and a testing environment. The three components are applied iteratively until a threshold of output quality is attained. The initial application of this technique is for the morphology of low-density languages in the context of the Expedition project at NMSU Computing Research Laboratory. This elicit-build-test technique compiles lexical and inflectional information elicited from a human into a finite-state transducer lexicon and combines this with a sequence of morphographemic rewrite rules that is induced using transformation-based learning from the elicited examples. The resulting morphological analyzer is then tested against a test set, and any corrections are fed back into the learning procedure, which then builds an ... Keyword: 200402 Computational Linguistics; 80107 Natural Language Processing; FOS Computer and information sciences; FOS Languages and literature URL: https://kilthub.cmu.edu/articles/Bootstrapping_Morphological_Analyzers_by_Combining_Human_Elicitation_and_Machine_Learning/6368969/1 https://dx.doi.org/10.1184/r1/6368969.v1 BASE Hide details 124 Error-tolerant Finite-state Recognition with Applications to Morphological Analysis and Spelling Correction ... Oflazer, Kemal. - : Carnegie Mellon University, 1996 BASE Show details 125 Error-tolerant Finite-state Recognition with Applications to Morphological Analysis and Spelling Correction ... Oflazer, Kemal. - : Carnegie Mellon University, 1996 BASE Show details Page: 1...3 4 5 6 7

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