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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, Dependency parsing, Universal Dependencies; often with Daniel Gildea, Linfeng Song, Zhiguo Wang.

OpenAlex · ORCID · h-index 60 · 14466 citations · 344 works — 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 · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Machine translation 4 · Dependency parsing 2 · Universal Dependencies 1

Papers

  1. Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR (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 (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 (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 (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 (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 (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)

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