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# Liang Huang

4 paper cards in Mova's library · 2006–2017

Liang Huang wrote 4 of the papers Mova reads, in 2006–2017, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/), [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with [Aravind Joshi](https://md.mova.elamur.ai/free/en/docs/papers/authors/aravind-joshi/), Haitao Mi, Kai Zhao.

[OpenAlex](https://openalex.org/A5101440599) · [ORCID](https://orcid.org/0009-0007-5846-849X) · [**h-index 24**](https://openalex.org/authors/A5101440599) · [3177 citations](https://openalex.org/authors/A5101440599) · [107 works](https://openalex.org/works?filter=author.id:A5101440599) — 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=Liang+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Liang+Huang) · [dblp](https://dblp.org/search?q=Liang+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Liang+Huang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Liang+Huang)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2 · [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Papers

1. **[Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2017-joint-syntacto-discourse-parsing-syntacto/)** *(2017)* The paper proposes a discourse parser that builds constituency and RST discourse trees in one pass, with no pre-segmentation and no external syntactic features.
2. **[Structured Perceptron with Inexact Search](https://md.mova.elamur.ai/free/en/docs/papers/huang-2012-structured-perceptron-inexact-search/)** *(2012)* `measured` The convergence guarantee of the structured perceptron assumes exact search for the best structure, yet practical systems such as incremental parsers and translation decoders use beam search.
3. **[Forest-Based Translation](https://md.mova.elamur.ai/free/en/docs/papers/mi-2008-forest-based-translation/)** *(2008)* Tree-based translation takes the 1-best parse of the source sentence as input. A parser error then becomes a translation error. The paper proposes decoding over a packed forest, a compact graph that holds exponentially many parses, instead of the single tree. A k-best list is shown to be a poor substitute: a 50-best…
4. **[Statistical Syntax-Directed Translation with Extended Domain of Locality](https://md.mova.elamur.ai/free/en/docs/papers/huang-2006-statistical-syntax-directed-translation-extended/)** *(2006)* The paper models syntax-directed translation as a tree-to-string transducer whose source side has multi-level trees, so each rule can cover a larger piece of the parse than a one-level rule.

## Co-authors (7)

- [Aravind Joshi](https://md.mova.elamur.ai/free/en/docs/papers/authors/aravind-joshi/)
- Haitao Mi
- Kai Zhao
- [Kevin Knight](https://md.mova.elamur.ai/free/en/docs/papers/authors/kevin-knight/)
- [Qun Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/qun-liu/)
- Suphan Fayong
- Yang Guo
- [← previous Liane Guillou](https://md.mova.elamur.ai/free/en/docs/papers/authors/liane-guillou/)
- [next → Lillian Lee](https://md.mova.elamur.ai/free/en/docs/papers/authors/lillian-lee/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
