--- title: "Ting Dang — author profile and papers · Low-resource languages" description: "Ting Dang, The University of Melbourne: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/ting-dang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ting-dang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ting Dang # Ting Dang Ting Dang has 2 papers in our library, in 2026, most of them on [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Jing Yang](https://md.research.elamur.ai/free/en/authors/jing-yang/), [Jingdong Chen](https://md.research.elamur.ai/free/en/authors/jingdong-chen/), [Yang Xiao](https://md.research.elamur.ai/free/en/authors/yang-xiao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5128498103) · [**h-index 1**](https://openalex.org/authors/A5128498103) · [42 works](https://openalex.org/works?filter=author.id:A5128498103) · [1 citations](https://openalex.org/works?filter=author.id:A5128498103&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ting-dang/#papers) · [⭐ Paper Stars ranking: #13958](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13958) 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=Ting+Dang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ting+Dang) · [dblp](https://dblp.org/search?q=Ting+Dang) · [ACL Anthology](https://aclanthology.org/search/?q=Ting+Dang) ## Affiliations [🎓**The University of Melbourne** Melbourne · Australia 2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🎓**Melbourne School of Theology** Melbourne · Australia 2026 · 1 paper*current*](https://ror.org/05kdkdw55) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 4 Research subjects and languages the work is about.[Low-resource languages · 2 works](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ting-dang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/yang-2026-fusion-aware-two-stage-framework/)** *(2026)* The paper tackles phoneme-level mispronunciation detection and diagnosis (MDD) for Modern Standard Arabic, where learner recordings are scarce and synthetic error data does not match real learner speech well. 2. **[Adapting Where It Matters: Depth-Aware Adaptation for Efficient Multilingual Speech Recognition in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/xiao-2026-adapting-where-it-matters-depth/)** *(2026)* Speech foundation models handle high-resource languages well but degrade on low-resource ones. Full fine-tuning is costly and overfits on small datasets. LoRA-style methods spread the same adaptation budget over every layer. The authors first ran per-layer linear probes for language identification on Common Voice… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Jing Yang](https://md.research.elamur.ai/free/en/authors/jing-yang/) - [Jingdong Chen](https://md.research.elamur.ai/free/en/authors/jingdong-chen/) - [Yang Xiao](https://md.research.elamur.ai/free/en/authors/yang-xiao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026