17. A method of improving word-alignments between a dataset of bilingual sentence pairs based upon collection of user feedback, the method comprising: obtaining user-feedback ratings of the user's assessment of a quality standard of existing word-alignment of sentence pairs of the dataset of bilingual sentence pairs; dividing the dataset of bilingual sentence pairs into at least two groups, where a retained group includes sentence pairs that meet or exceed the quality standard based upon the obtained user-feedback ratings and a to-be-revised group includes sentence pairs having the existing word-alignment that fall below the quality standard based upon the obtained user-feedback ratings; obtaining, from multiple users, user-feedback word-realignment of words in realigned sentence pairs of the dataset of bilingual sentence pairs; based upon the obtained user-feedback word-realignment of the realigned sentence pairs, calculating a corrected word-realignment of the realigned sentence pairs; and generating a new word-alignment model based upon the retained group of sentence pairs and the realigned sentence pairs.
18. A method as recited in claim 17 , the method further comprising applying the new word-alignment model to another dataset of bilingual sentence pairs.