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# Zhiguo Wang

2 paper cards in Mova's library · 2017–2019

Zhiguo Wang wrote 2 of the papers Mova reads, in 2017–2019, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Daniel Gildea](https://md.mova.elamur.ai/free/en/docs/papers/authors/daniel-gildea/), [Linfeng Song](https://md.mova.elamur.ai/free/en/docs/papers/authors/linfeng-song/), [Yue Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/).

[OpenAlex](https://openalex.org/A5006895046) · [ORCID](https://orcid.org/0000-0003-0343-7278) · [**h-index 21**](https://openalex.org/authors/A5006895046) · [1597 citations](https://openalex.org/authors/A5006895046) · [148 works](https://openalex.org/works?filter=author.id:A5006895046) — 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=Zhiguo+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhiguo+Wang) · [dblp](https://dblp.org/search?q=Zhiguo+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhiguo+Wang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Zhiguo+Wang)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2

## Papers

1. **[Semantic Neural Machine Translation Using AMR](https://md.mova.elamur.ai/free/en/docs/papers/song-2019-semantic-neural-machine-translation-amr/)** *(2019)* The paper asks whether an AMR graph of the source sentence helps neural machine translation. The model keeps a BiLSTM encoder over the words and adds a graph recurrent network that encodes the AMR graph without linearising it. A doubly attentive LSTM decoder reads both encodings. On WMT16 English-German (4.17M…
2. **[AMR-to-text Generation with Synchronous Node Replacement Grammar](https://md.mova.elamur.ai/free/en/docs/papers/song-2017-amr-text-generation-synchronous-node/)** *(2017)* The paper generates sentences directly from the AMR graph, without first making a spanning tree, so that no information is lost in the graph-to-tree step.

## Co-authors (5)

- [Daniel Gildea](https://md.mova.elamur.ai/free/en/docs/papers/authors/daniel-gildea/) ×2
- [Linfeng Song](https://md.mova.elamur.ai/free/en/docs/papers/authors/linfeng-song/) ×2
- [Yue Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/) ×2
- Jinsong Su
- Xiaochang Peng
- [← previous Zheng Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/zheng-zhang/)
- [next → Zhou Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/zhou-yu/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)