Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
Synchronous tree-adjoining grammars
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
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Robust sub-sentential alignment of phrase-structure trees
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Automatic generation of parallel treebanks
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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Synchronous tree adjoining machine translation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Learning to translate with source and target syntax
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LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Improved features and grammar selection for syntax-based MT
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CMU syntax-based machine translation at WMT 2011
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
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We describe a multi-step process for automatically learning reliable sub-sentential syntactic phrases that are translation equivalents of each other and syntactic translation rules between two languages. The input to the process is a corpus of parallel sentences, word-aligned and annotated with phrase-structure parse trees. We first apply a newly developed algorithm for aligning parse-tree nodes between the two parallel trees. Next, we extract all aligned sub-sentential syntactic constituents from the parallel sentences, and create a syntax-based phrase-table. Finally, we treat the node alignments as tree decomposition points and extract from the corpus all possible synchronous parallel tree fragments. These are then converted into synchronous context-free rules. We describe the approach and analyze its application to Chinese-English parallel data.