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Daniel Marcu

5 paper cards in Mova's library · 2001–2006

Daniel Marcu wrote 5 of the papers Mova reads, in 2001–2006, most of them on Machine translation, Discourse analysis; often with Kevin Knight, Michel Galley, Bo Pang.

OpenAlex · h-index 58 · 17433 citations · 209 works — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 3 · Discourse analysis 2

Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

Papers

  1. Scalable Inference and Training of Context-Rich Syntactic Translation Models (2006)
    The paper extends the rule extraction of Galley et al. (2004). Instead of keeping one minimal derivation per sentence pair, it builds a forest of many derivations, so that larger rules with more syntactic context and alternative readings of unaligned words are all available. It puts probabilities on these multi-level…
  2. What's in a translation rule? (2004)
    The paper gives a formal meaning to word alignments between a parsed English sentence and its translation.
  3. Sentence Level Discourse Parsing using Syntactic and Lexical Information (2003)
    The paper builds sentence-level RST discourse trees in two steps. First a probabilistic segmenter finds elementary discourse units inside a sentence, using syntactic and lexical features. Then a probabilistic parser builds the tree, using "dominance sets" taken from the Penn Treebank parse. The data are 385 WSJ…
  4. Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences (2003)
    The authors take groups of 11 English translations of the same Chinese sentence (899 groups) and parse each one.
  5. Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory (2001)
    The paper describes how the RST Discourse Treebank was built: 385 American English articles from the Penn Treebank, each annotated with a rhetorical structure tree in Rhetorical Structure Theory.

Co-authors (11)

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