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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 Hits 1 – 2 of 2 1 Treebank-based acquisition of LFG resources for Chinese Guo, Yuqing; van Genabith, Josef; Wang, Haifeng In: Guo, Yuqing, van Genabith, Josef and Wang, Haifeng (2007) Treebank-based acquisition of LFG resources for Chinese. In: Lexical Functional Grammar 2007, 28-30 July 2007, California, USA. (2007) BASE Show details 2 Treebank-based acquisition of a Chinese lexical-functional grammar Burke, Michael; Lam, Olivia; Cahill, Aoife; Chan, Rowena; O'Donovan, Ruth; Bodomo, Adams; van Genabith, Josef; Way, Andy In: Burke, Michael, Lam, Olivia, Cahill, Aoife orcid:0000-0002-3519-7726 , Chan, Rowena, O'Donovan, Ruth, Bodomo, Adams, van Genabith, Josef and Way, Andy orcid:0000-0001-5736-5930 (2004) Treebank-based acquisition of a Chinese lexical-functional grammar. In: PACLIC-18 - 18th Pacific Asia Conference on Language, Information and Computation, 8-10 December 2004, Tokyo, Japan. (2004) Abstract: Scaling wide-coverage, constraint-based grammars such as Lexical-Functional Grammars (LFG) (Kaplan and Bresnan, 1982; Bresnan, 2001) or Head-Driven Phrase Structure Grammars (HPSG) (Pollard and Sag, 1994) from fragments to naturally occurring unrestricted text is knowledge-intensive, time-consuming and (often prohibitively) expensive. A number of researchers have recently presented methods to automatically acquire wide-coverage, probabilistic constraint-based grammatical resources from treebanks (Cahill et al., 2002, Cahill et al., 2003; Cahill et al., 2004; Miyao et al., 2003; Miyao et al., 2004; Hockenmaier and Steedman, 2002; Hockenmaier, 2003), addressing the knowledge acquisition bottleneck in constraint-based grammar development. Research to date has concentrated on English and German. In this paper we report on an experiment to induce wide-coverage, probabilistic LFG grammatical and lexical resources for Chinese from the Penn Chinese Treebank (CTB) (Xue et al., 2002) based on an automatic f-structure annotation algorithm. Currently 96.751% of the CTB trees receive a single, covering and connected f-structure, 0.112% do not receive an f-structure due to feature clashes, while 3.137% are associated with multiple f-structure fragments. From the f-structure-annotated CTB we extract a total of 12975 lexical entries with 20 distinct subcategorisation frame types. Of these 3436 are verbal entries with a total of 11 different frame types. We extract a number of PCFG-based LFG approximations. Currently our best automatically induced grammars achieve an f-score of 81.57% against the trees in unseen articles 301-325; 86.06% f-score (all grammatical functions) and 73.98% (preds-only) against the dependencies derived from the f-structures automatically generated for the original trees in 301-325 and 82.79% (all grammatical functions) and 67.74% (preds-only) against the dependencies derived from the manually annotated gold-standard f-structures for 50 trees randomly selected from articles 301-325. Keyword: Chinese; lexical functional grammar; Machine translating URL: http://doras.dcu.ie/15299/ BASE Hide details

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