[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Yue Zhang # Yue Zhang 6 paper cards in Mova's library · 2008–2026 Yue Zhang wrote 6 of the papers Mova reads, in 2008–2026, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/), [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/); 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/), [Zhiguo Wang](https://md.mova.elamur.ai/free/en/docs/papers/authors/zhiguo-wang/). [OpenAlex](https://openalex.org/A5100333729) · [ORCID](https://orcid.org/0000-0002-5214-2268) · [**h-index 60**](https://openalex.org/authors/A5100333729) · [14466 citations](https://openalex.org/authors/A5100333729) · [344 works](https://openalex.org/works?filter=author.id:A5100333729) — 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=Yue+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yue+Zhang) · [dblp](https://dblp.org/search?q=Yue+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Yue+Zhang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Yue+Zhang) Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 4 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 2 · [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 1 ## Papers 1. **[Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR](https://md.mova.elamur.ai/free/en/docs/papers/gao-2026-modular-neural-machine-translation-semantic/)** *(2026)* The paper builds a translation pipeline with a semantic pivot, in the spirit of the translation pyramid. Each language gets two modules: one that reads a sentence into English AMR, and one that writes the target sentence from AMR. The training data is a silver AMR corpus made by a strong parser from the United… 2. **[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… 3. **[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. 4. **[Universal Dependencies Parsing for Colloquial Singaporean English](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-wang-universal-dependencies-parsing-colloquial-singaporean/)** *(2017)* The authors ask why an English parser fails on Singlish, an English-based creole with imported Hokkien, Malay and Cantonese words, topic-first sentences, copula deletion and clause-final particles such as "lah". 5. **[Transition-Based Syntactic Linearization](https://md.mova.elamur.ai/free/en/docs/papers/liu-2015-transition-based-syntactic-linearization/)** *(2015)* Syntactic linearization takes a bag of words and optional syntactic constraints and builds the sentence and its tree together. 6. **[A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/zhang-2008-tale-two-parsers-investigating-combining/)** *(2008)* `measured` The paper compares graph-based and transition-based dependency parsing within one framework based on beam search and a discriminatively trained perceptron. ## Co-authors (17) - [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 - [Zhiguo Wang](https://md.mova.elamur.ai/free/en/docs/papers/authors/zhiguo-wang/) ×2 - [Bing Qin](https://md.mova.elamur.ai/free/en/docs/papers/authors/bing-qin/) - GuangYong Leonard Chan - Hai Leong Chieu - [Hongmin Wang](https://md.mova.elamur.ai/free/en/docs/papers/authors/hongmin-wang/) - Jie Yang - Jinsong Su - Shulin Huang - [Stephen Clark](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephen-clark/) - [Wanxiang Che](https://md.mova.elamur.ai/free/en/docs/papers/authors/wanxiang-che/) - Wenyang Gao - Xiaochang Peng - Yaxuan Li - [Yijia Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/yijia-liu/) - Yunxin Bao - [← previous Yuan Cao](https://md.mova.elamur.ai/free/en/docs/papers/authors/yuan-cao/) - [next → Yufang Hou](https://md.mova.elamur.ai/free/en/docs/papers/authors/yufang-hou/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)