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Mingbo Ma

Mingbo Ma has 3 papers in our library, in 2018–2019, most of them on Machine translation; often with Liang Huang, Baigong Zheng, Renjie Zheng.

3 papers in our library · 2018–2019

OpenAlex · h-index 16 · 44 works · 1,132 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 265 times in our library · ⭐ Paper Stars ranking: #3006

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

 Affiliations

🏢MetaMenlo Park · United States2025 · 1 papercurrent🏢BaiduBeijing · China2018–2021 · 20 papers🎓Oregon State UniversityCorvallis · United States2017–2019 · 14 papers🎓The Graduate Center, CUNYNew York · United States2014–2015 · 3 papers🎓City University of New YorkNew York · United States2014–2017 · 2 papers🎓Queens College, CUNYNew York · United States2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 3 works

 Works by year

2010s

20192 papersMingbo Ma's papers of 201920181 paperBreaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation

 Papers

The most cited first (OpenAlex and our library).

  1. STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework (2019 · 349 citations)
    Simultaneous machine translation must produce output while the speaker is still talking. Word-order mismatches make this hard: when translating an SOV language such as German into an SVO language such as English, the system may need to wait for a verb at the end of the sentence. Earlier systems, such as the…
  2. Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation (2018 · 156 citations)
    In neural machine translation, widening the beam beyond about 5 usually makes BLEU worse. This is the "beam search curse." Yang, Huang and Ma trace it to output length. A wider beam reaches </eos> earlier, and the model's scores favor short candidates. Translations therefore shrink, and the brevity penalty lowers…
  3. Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation (2019 · 112 citations)
    Simultaneous MT must decide, word by word, whether to wait for more source input (READ) or emit output (WRITE).

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 265 times (of the 141,840 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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