Lexical-based alignment for reconstruction of structure in parallel texts

Authors:
Alexander Gelbukh;Grigori Sidorov;Liliana Chanona-Hernandez
Affiliations:
Center for Research in Computer Science, National Polytechnic Institute, Mexico City, Mexico;Center for Research in Computer Science, National Polytechnic Institute, Mexico City, Mexico;Faculty of Electric and Mechanical Engineering, National Polytechnic Institute, Mexico City, Mexico
Venue:
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Year:
2007

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Abstract

In this paper, we present an optimization algorithm for finding the best text alignment based on the lexical similarity and the results of its evaluation as compared with baseline methods (Gale and Church, relative position). For evaluation, we use fiction texts that represent non-trivial cases of alignment. Also, we present a new method for evaluation of the algorithms of parallel texts alignment, which consists in restoration of the structure of the text in one of the languages using the units of the lower level and the available structure of the text in the other language. For example, in case of paragraph level alignment, the sentences are used to constitute the restored paragraphs. The advantage of this method is that it does not depend on corpus data.