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Michael Cysouw, Chris Biemann, Matthias Ongyerth
Using Strong′s Numbers in the Bible to test an automatic alignment of parallel texts
Keywords: parallel text, automatic word alignment, automatic glossing, statistical dictionary acquisition, co-occurrences
We describe a method for the automatic alignment of parallel texts using co-occurrence statistics. The assumption of this approach is that words which are often found together are linked in some way. We employ this assumption to automatically suggest links between words in different languages, using Bible verses as information units. The result is a word-by-word alignment between different translations of the Bible. The accuracy of our method is evaluated by using Strong′s numbers as a benchmark. Overall, the performance is high, indicating that this approach can be used to give an approximate gloss of Bible verses.
STUF – Sprachtypologie und Universalienforschung, Akademie Verlag
Print ISSN: 0942-2919
Volume: 60, 02/2007
Pages: 158 - 171