--- title: "Berlin Chen — author profile and papers — Elamur Research" description: "Berlin Chen, National Taiwan Normal University: 5 papers on Elamur Research (2019–2026), h-index 23 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/berlin-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/berlin-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Berlin Chen # Berlin Chen Berlin Chen has 5 papers in our library, in 2019–2026, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Bi-Cheng Yan](https://md.research.elamur.ai/free/en/authors/bi-cheng-yan/), [Fu-An Chao](https://md.research.elamur.ai/free/en/authors/fu-an-chao/), [Adam Poliak](https://md.research.elamur.ai/free/en/authors/adam-poliak/). 5 papers in our library · 2019–2026 [OpenAlex](https://openalex.org/A5115595070) · [**h-index 23**](https://openalex.org/authors/A5115595070) · [255 works](https://openalex.org/works?filter=author.id:A5115595070) · [1,950 citations](https://openalex.org/works?filter=author.id:A5115595070&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/berlin-chen/#papers) · [🔗 Cited 471 times in our library](https://md.research.elamur.ai/free/en/authors/berlin-chen/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2894](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2894) 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=Berlin+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Berlin+Chen) · [dblp](https://dblp.org/search?q=Berlin+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Berlin+Chen) ## Affiliations [🎓**National Taiwan Normal University** Taipei · Taiwan 2004–2026 · 143 papers*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-normal-university/) · [🔬**Academia Sinica** Taipei · Taiwan 1998–2017 · 10 papers](https://md.research.elamur.ai/free/en/labs/academia-sinica/) · [🔬**Institute of Information Science, Academia Sinica** Taipei · Taiwan 1998–2017 · 10 papers](https://md.research.elamur.ai/free/en/labs/institute-of-information-science-academia-sinica/) · [🎓**Swarthmore College** Swarthmore · United States 2018–2019 · 3 papers](https://ror.org/012dg8a96) · [🎓**National Taiwan University** Taipei · Taiwan 2000–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) 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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Signal Processing · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 6 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Word embeddings · 1 work](https://md.research.elamur.ai/free/en/concepts/word-embeddings/) ## Works by year ### 2020s [**2026** 2 papers Berlin Chen's papers of 2026](https://md.research.elamur.ai/free/en/authors/berlin-chen/year/2026/) · [**2021** 1 paper Berlin Chen's papers of 2021](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/) · [**2020** 1 paper Berlin Chen's papers of 2020](https://md.research.elamur.ai/free/en/papers/yan-2020-end-end-mispronunciation-detection-system/) ### 2010s [**2019** 1 paper Berlin Chen's papers of 2019](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) ## Papers The most cited first (OpenAlex and our library). 1. **[What do you learn from context? Probing for sentence structure in contextualized word representations](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/)** *(2019 · 588 citations)* Contextual encoders such as ELMo and BERT boost many NLP benchmarks, but it was unclear what sentence-level structure their token vectors actually carry beyond ordinary word embeddings. 2. **[An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling](https://md.research.elamur.ai/free/en/papers/yan-2020-end-end-mispronunciation-detection-system/)** *(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](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/)** *(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](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/)** *(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](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/)** *(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 representations arXiv:1905.06316**Ian Tenney, Patrick Xia, Berlin Chen, et al.*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) 2. **[An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling](https://md.research.elamur.ai/free/en/papers/yan-2020-end-end-mispronunciation-detection-system/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Bi-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 Methods](https://md.research.elamur.ai/free/en/papers/jiang-2021-towards-robust-mispronunciation-detection-diagnosis/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-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 Diagnosis ↗](https://arxiv.org/abs/2111.00844) arXiv:2111.00844 · no summary yet**Hsin-Wei Wang et al.*2021 · 2 citations* 5. **[MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 Recognition](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 Detection ↗](https://aclanthology.org/2021.rocling-1.17/) Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021) · no summary yet**Hsin-Wei Wang et al.*2021* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Bi-Cheng Yan](https://md.research.elamur.ai/free/en/authors/bi-cheng-yan/) ×3 - [Fu-An Chao](https://md.research.elamur.ai/free/en/authors/fu-an-chao/) ×2 - [Adam Poliak](https://md.research.elamur.ai/free/en/authors/adam-poliak/) - [Alex Wang](https://md.research.elamur.ai/free/en/authors/alex-wang/) - [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) - [Dipanjan Das](https://md.research.elamur.ai/free/en/authors/dipanjan-das/) - [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/) - [Ian Tenney](https://md.research.elamur.ai/free/en/authors/ian-tenney/) - [Najoung Kim](https://md.research.elamur.ai/free/en/authors/najoung-kim/) - [Patrick Xia](https://md.research.elamur.ai/free/en/authors/patrick-xia/) - [R Thomas McCoy](https://md.research.elamur.ai/free/en/authors/r-thomas-mccoy/) - [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/) ×2: [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) ×2 - [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/): [ASRU 2021](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/2021/) - [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/): [Interspeech 2020](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/) - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021) ## 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 →](https://md.research.elamur.ai/free/en/authors/berlin-chen/cited-by/). Updated 24 October 2026