  Various methods have been proposed for aligning texts in two or more
languages such as the Canadian Parliamentary Debates(Hansards). Some of these
methods generate a bilingual lexicon as a by-product. We present an alternative
alignment strategy which we call K-vec, that starts by estimating the lexicon.
For example, it discovers that the English word "fisheries" is similar to the
French "pe^ches" by noting that the distribution of "fisheries" in the English
text is similar to the distribution of "pe^ches" in the French. K-vec does not
depend on sentence boundaries.
