The trees may be learned directly from parallel corpora<cite> (Wu, 1997</cite>), or provided by a parser trained on hand-annotated treebanks (Yamada and Knight, 2001) . In this paper, we compare these approaches on Chinese-English and French-English datasets, and find that automatically derived trees result in better agreement with human-annotated word-level alignments for unseen test data.