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# David Chiang

4 paper cards in Mova's library · 2005–2010

David Chiang wrote 4 of the papers Mova reads, in 2005–2010, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with [Mona Diab](https://md.mova.elamur.ai/free/en/docs/papers/authors/mona-diab/), [Nizar Habash](https://md.mova.elamur.ai/free/en/docs/papers/authors/nizar-habash/), [Owen Rambow](https://md.mova.elamur.ai/free/en/docs/papers/authors/owen-rambow/).

[OpenAlex](https://openalex.org/A5036026526) · [ORCID](https://orcid.org/0000-0002-0435-4864) · [**h-index 31**](https://openalex.org/authors/A5036026526) · [6918 citations](https://openalex.org/authors/A5036026526) · [162 works](https://openalex.org/works?filter=author.id:A5036026526) — 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](https://scholar.google.com/citations?view_op=search_authors&mauthors=David+Chiang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=David+Chiang) · [dblp](https://dblp.org/search?q=David+Chiang) · [ACL Anthology](https://aclanthology.org/search/?q=David+Chiang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=David+Chiang)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 3 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Papers

1. **[Learning to Translate with Source and Target Syntax](https://md.mova.elamur.ai/free/en/docs/papers/chiang-2010-learning-translate-source-target-syntax/)** *(2010)* Tree-to-tree translation, with syntax on both sides, has often done worse than phrase-based systems. The paper studies why, and proposes a simpler method. Instead of forcing the two parse trees to match, it keeps the hierarchical phrase-based model (Hiero) and adds syntactic features to it: whether a span's source…
2. **[Hierarchical Phrase-Based Translation](https://md.mova.elamur.ai/free/en/docs/papers/chiang-2007-hierarchical-phrase-based-translation/)** *(2007)* This is the full version of the hierarchical model. Rules are extracted from a parallel text with no syntactic annotation, under length and nonterminal limits on the phrases they contain. The model is a synchronous context-free grammar with a log-linear score over features (phrase and lexical weights in both…
3. **[Parsing Arabic Dialects](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-chiang-parsing-arabic-dialects/)** *(2006)* Levantine Arabic (LA) is spoken, unwritten, and has almost no treebank, while MSA has the Penn Arabic Treebank (about 17,600 training sentences).
4. **[A Hierarchical Phrase-Based Model for Statistical Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/chiang-2005-hierarchical-phrase-based-model-statistical/)** *(2005)* Chiang extends phrase-based translation with hierarchical phrases: phrase pairs that contain gaps filled by other phrase pairs.

## Co-authors (4)

- [Mona Diab](https://md.mova.elamur.ai/free/en/docs/papers/authors/mona-diab/)
- [Nizar Habash](https://md.mova.elamur.ai/free/en/docs/papers/authors/nizar-habash/)
- [Owen Rambow](https://md.mova.elamur.ai/free/en/docs/papers/authors/owen-rambow/)
- Safiullah Shareef
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