Relaxed Cross-lingual Projection of Constituent Syntax

44217

Authors

nan

Abstract

We propose a relaxed correspondence as- sumption for cross-lingual projection of con- stituent syntax, which allows a supposed constituent of the target sentence to corre- spond to an unrestricted treelet in the source parse. Such a relaxed assumption fundamen- tally tolerates the syntactic non-isomorphism between languages, and enables us to learn the target-language-specific syntactic idiosyn- crasy rather than a strained grammar di- rectly projected from the source language syn- tax. Based on this assumption, a novel con- stituency projection method is also proposed in order to induce a projected constituent tree- bank from the source-parsed bilingual cor- pus. Experiments show that, the parser trained on the projected treebank dramatically out- performs previous projected and unsupervised parsers. 1

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nan

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Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 1192–1201, Edinburgh, Scotland, UK, July 27–31, 2011. c⃝2011 Association for Computational Linguistics Relaxed Cross-lingual Projection of Constituent Syntax Wenbin Jiang and Qun Liu and Yajuan L¨u Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences {jiangwenbin, liuqun, lvyajuan}@ict.ac.cn Abstract We propose a relaxed correspondence as- sumption for cross-lingual projection of con- stituent syntax, which allows a supposed constituent of the target sentence to corre- spond to an unrestricted treelet in the source parse. Such a relaxed assumption fundamen- tally tolerates the syntactic non-isomorphism between languages, and enables us to learn the target-language-specific syntactic idiosyn- crasy rather than a strained grammar di- rectly projected from the source language syn- tax. Based on this assumption, a novel con- stituency projection method is also proposed in order to induce a projected constituent tree- bank from the source-parsed bilingual cor- pus. Experiments show that, the parser trained on the projected treebank dramatically out- performs previous projected and unsupervised parsers. 1 Introduction For languages with treebanks, supervised models give the state-of-the-art performance in dependency parsing (McDonald and Pereira, 2006; Nivre et al., 2006; Koo and Collins, 2010; Martins et al., 2010) and constituent parsing (Collins, 2003; Charniak and Johnson, 2005; Petrov et al., 2006). To break the restriction of the treebank scale, lots of works have been devoted to the unsupervised methods (Klein and Manning, 2004; Bod, 2006; Seginer, 2007; Co- hen and Smith, 2009) and the semi-supervised meth- ods (Sarkar, 2001; Steedman et al., 2003; McClosky et al., 2006; Koo et al., 2008) to utilize the unan- notated text. In recent years, researchers have also conducted many investigations on syntax projection (Hwa et al., 2005; Ganchev et al., 2009; Smith and Eisner, 2009; Jiang et al., 2010), in order to borrow syntactic knowledge from another language. Different from the bilingual parsing (Smith and Smith, 2004; Burkett and Klein, 2008; Zhao et al., 2009; Huang et al., 2009; Chen et al., 2010) that improves parsing performance with bilingual con- straints, and the bilingual grammar induction (Wu, 1997; Kuhn, 2004; Blunsom et al., 2008; Snyder et al., 2009) that induces grammar from parallel text, the syntax projection aims to project the syntac- tic knowledge from one language to another. This seems especially promising for the languages that have bilingual corpora parallel to resource-rich lan- guages with large treebanks. Previous works mainly focus on dependency projection. The dependency relationship between words in the parsed source sen- tences can be directly projected across the word alignment to words in the target sentences, follow- ing the direct correspondence assumption (DCA) (Hwa et al., 2005). Due to the syntactic non- isomorphism between languages, DCA assumption usually leads to conflicting or incomplete projection. Researchers have to adopt strategies to tackle this problem, such as designing rules to handle language non-isomorphism (Hwa et al., 2005), and resorting to the quasi-synchronous grammar (Smith and Eis- ner, 2009). For constituency projection, however, the lack of isomorphism …

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Labeled Text

We propose a relaxed correspondence assumption for cross-lingual projection of constituent syntax, which allows a supposed constituent of the target sentence to correspond to an unrestricted treelet in the source parse. Such a relaxed assumption fundamentally tolerates the syntactic non-isomorphism between languages, and enables us to learn the target-language-specific syntactic idiosyncrasy rather than a strained grammar directly projected from the source language syntax. Based on this assumption, a novel constituency projection method is also proposed in order to induce a projected constituent treebank from the source-parsed bilingual corpus. Experiments show that, the parser trained on the projected treebank dramatically outperforms previous projected and unsupervised parsers. 1

Publication Details

Paper ID:
44217
Year:
2011
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan