We test our model on three corpora of bilingual parallel sentences : English-Korean, English-Urdu, and English-Chinese.

To obtain leXical alignments between the parallel sentences we employ GIZA++ (Och and Ney, 2003).

Then for each pair of parallel sentences we randomly sample an initial alignment tree for the two sampled trees.

Finally, parallel sentences are assembled from these generated part-of-speech sequences and word-level alignments.

We treat the part-of-speech tag sequences of parallel sentences , as well as their

Now we describe the stochastic process whereby the observed parallel sentences and their word-level alignments are generated, according to our model.

Then, each pair of word-aligned parallel sentences is generated through the following process:

Assuming that trees induced over parallel sentences have to exhibit certain structural regularities, Kuhn manually specifies a set of rules for determining when parsing decisions in the two languages are inconsistent with GIZA++ word-level alignments.

As we mentioned in Section 2, (Shi et al., 2006) reported that in total they mined 1,069,423 pairs of English-Chinese parallel sentences from bilingual web sites.

As far as we know, there is no publication available on mining parallel sentences directly from bilingual web pages.

(Shi et al., 2006), mined a total of 1,069,423 pairs of English-Chinese parallel sentences .