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# Linfeng Song

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

Linfeng Song 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/), [Yue Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/), [Zhiguo Wang](https://md.mova.elamur.ai/free/en/docs/papers/authors/zhiguo-wang/).

[OpenAlex](https://openalex.org/A5016877422) · [ORCID](https://orcid.org/0000-0002-3502-3574) · [**h-index 24**](https://openalex.org/authors/A5016877422) · [2450 citations](https://openalex.org/authors/A5016877422) · [132 works](https://openalex.org/works?filter=author.id:A5016877422) — 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=Linfeng+Song) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Linfeng+Song) · [dblp](https://dblp.org/search?q=Linfeng+Song) · [ACL Anthology](https://aclanthology.org/search/?q=Linfeng+Song) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Linfeng+Song)

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
- [Yue Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/) ×2
- [Zhiguo Wang](https://md.mova.elamur.ai/free/en/docs/papers/authors/zhiguo-wang/) ×2
- Jinsong Su
- Xiaochang Peng
- [← previous Lillian Lee](https://md.mova.elamur.ai/free/en/docs/papers/authors/lillian-lee/)
- [next → Lingpeng Kong](https://md.mova.elamur.ai/free/en/docs/papers/authors/lingpeng-kong/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
