Ideally, a perfect combination of feature functions divides the correct and incorrect candidate phrase pairs within a parallel sentence into two ordered separate sets.

The training corpus consists of 40K Chinese-English parallel sentences in travel domain with to-

We will define a confidence metric to estimate how reliably the model can align an n-gram in one side to a phrase on the other side given a parallel sentence .

7Note that the although the corpora here are derived from a parallel corpus, there are no parallel sentences .

10These corpora contain no parallel sentences .

For English-Arabic, we extract a lexicon from 100k parallel sentences of UN parallel corpora by running the HMM intersected alignment model (Liang et al., 2008), adding (3, t) to the lexicon if s was aligned to t at least three times and more than any other word.