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Berlin Chen

Berlin Chen has 5 papers in our library, in 2019–2026, most of them on English, Language models & pretraining, Speech & spoken language; often with Bi-Cheng Yan, Fu-An Chao, Adam Poliak.

5 papers in our library · 2019–2026

OpenAlex · h-index 23 · 255 works · 1,950 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 471 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #2896

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

🎓National Taiwan Normal UniversityTaipei · Taiwan2004–2026 · 143 paperscurrent🔬Academia SinicaTaipei · Taiwan1998–2017 · 10 papers🔬Institute of Information Science, Academia SinicaTaipei · Taiwan1998–2017 · 10 papers🎓Swarthmore CollegeSwarthmore · United States2018–2019 · 3 papers🎓National Taiwan UniversityTaipei · Taiwan2000–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksPsychology · 2 worksSignal Processing · 3 worksExperimental and Cognitive Psychology · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 6Research subjects and languages the work is about.Interpretability · 1 workEnglish · 2 worksLanguage models & pretraining · 1 workLow-resource languages · 1 workSpeech & spoken language · 1 workVision & language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Word embeddings · 1 work

 Works by year

2020s

20262 papersBerlin Chen's papers of 202620211 paperTowards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods20201 paperAn End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling

2010s

20191 paperWhat do you learn from context? Probing for sentence structure in contextualized word representations

 Papers

The most cited first (OpenAlex and our library).

  1. What do you learn from context? Probing for sentence structure in contextualized word representations (2019 · 588 citations)
    Contextual encoders such as ELMo and BERT raised the state of the art on many NLP benchmarks, but it was not clear what knowledge their token vectors carry beyond ordinary word embeddings.
  2. An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling (2020 · 46 citations)
    Computer-assisted pronunciation training (CAPT) depends on mispronunciation detection and diagnosis (MDD).
  3. Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods (2021 · 20 citations)
    Computer-assisted pronunciation training needs mispronunciation detection and diagnosis (MDD) that works for learners of English with many different native-language accents.
  4. MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios (2026)
    MASA is a scoring model for automatic speaking assessment (ASA) of second-language (L2) learners in picture-description tasks.
  5. TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition (2026)
    Taiwanese Hokkien is a low-resource language for speech recognition. Plenty of drama and video audio exists, but it rarely comes with Hokkien transcripts, since subtitles are usually written in Mandarin. The authors propose TG-ASR, which uses text in other languages as extra semantic input to the recognizer. They…

All works

7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. What do you learn from context? Probing for sentence structure in contextualized word representationsarXiv:1905.06316Ian Tenney, Patrick Xia, Berlin Chen, et al.2019 · 588 citations
  2. An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone ModelingInterspeechBi-Cheng Yan, Meng-Che Wu, Hsiao-Tsung Hung, et al.2020 · 46 citations
  3. Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating MethodsIEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Shao-Wei Fan Jiang, Bi-Cheng Yan, Tien-Hong Lo, et al.2021 · 20 citations
  4. Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And DiagnosisarXiv:2111.00844 · original ↗ · no summary yetHsin-Wei Wang et al.2021 · 2 citations
  5. MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description ScenariosLanguage Resources and Evaluation Conference (LREC)Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.2026
  6. TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech RecognitionLanguage Resources and Evaluation Conference (LREC)ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.2026
  7. Exploring the Integration of E2E ASR and Pronunciation Modeling for English Mispronunciation DetectionProceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021) · original ↗ · no summary yetHsin-Wei Wang et al.2021

 Co-authors here

12 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 471 times (of the 141,840 papers whose bibliographies we read); 63 citing papers with a page here →.

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