Dekai Wu
Dekai Wu wrote 2 of the papers Mova reads, in 1997–2011, most of them on Machine translation, Semantic role labeling; often with Chi-kiu Lo.
Topics: Machine translation 2 · Semantic role labeling 1
Papers
- MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles (2011)
MEANT judges translation utility, meaning whether a reader can recover who did what to whom. For each predicate in the reference and in the output it aligns predicates by lexical similarity, aligns the role fillers of each aligned pair by weighted bipartite matching, and computes a weighted F-score over the matched… - Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora (1997)
Wu introduces the inversion transduction grammar (ITG), a context-free grammar for sentence pairs. Each production emits its two children in the same order or in reversed order on the second side, which adds only a minimal amount of ordering freedom to simple transduction grammars. In its probabilistic form, the…
Co-authors (1)
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/dekai-wu/