As an alternative term weighting approach, we have used a variant of Mihalcea and Tarau (2004)'s Tex-tRank, a graph-based ranking model for keyword extraction which achieves state-of-the-art accuracy without the need of deep linguistic knowledge or domain-specific corpora.
we make these observations: • The translation models learned from the (Q Q) corpus have less vocabularies but more average translations per word than the ones learned from the (Q A) corpus.