A Chunk-Driven Bootstrapping Approach to Extracting Translation Patterns

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A Chunk-Driven Bootstrapping Approach to Extracting Translation Patterns
Abstract. We present a linguistically-motivated sub-sentential alignment system that extends the intersected IBM Model 4 word alignments. The alignment system is chunk-driven and requires only shallow linguistic processing tools for the source and the target languages, i.e. part-ofspeech taggers and chunkers. We conceive the sub-sentential aligner as a cascaded model consisting of two phases. In the first phase, anchor chunks are linked based on the intersected word alignments and syntactic similarity. In the second phase, we use a bootstrapping approach to extract more complex translation patterns. The results show an overall AER reduction and competitive F-Measures in comparison to the commonly used symmetrized IBM Model 4 predictions (intersection, union and grow-diag-final) on six different text types for English-Dutch. More in particular, in comparison with the intersected word alignments, the proposed method improves recall, without sacrificing precision. Moreover, the system is ...
Lieve Macken, Walter Daelemans
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Authors Lieve Macken, Walter Daelemans
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