--- title: "Mia Chen — author profile and papers" description: "Mia Chen, Google: 2 papers on Elamur Research (2018–2019), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/mia-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mia-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mia Chen # Mia Chen Mia Chen works on neural machine translation, with papers here dating from 2018 and 2019. The work asks what really drives translation quality: which improvements belong to a model architecture and which to the training methods packaged with it, and how far a single shared network can be stretched across many languages at once. The approach is empirical and large in scale, comparing Transformer-based and related systems under carefully matched conditions. It spans [machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) and [multilingual and cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/). Both of Chen's papers here are widely cited. [The Best of Both Worlds](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/) (2018) rebuilt recent architectures such as ConvS2S and the Transformer within one framework and gave them identical preprocessing. This made it possible to separate the effect of each design from the modeling and training techniques that usually come with it. The systems were evaluated on the WMT'14 English→French and English→German tasks. [Massively Multilingual Neural Machine Translation in the Wild](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/) (2019) trained one model covering 103 languages on a web-gathered corpus of more than 25 billion sentence pairs into and out of English. It set this model against separate bilingual Transformer baselines for each direction and examined vocabulary, how training data is sampled, and model size. The newer of the two papers moves from controlled benchmark comparisons to multilingual translation under realistic conditions, where the amount of data, the subject matter and the level of noise differ widely from one language to the next. Chen's bylines list [Google](https://md.research.elamur.ai/free/en/companies/google/) in Mountain View from 2018 to 2022. [Orhan Firat](https://md.research.elamur.ai/free/en/authors/orhan-firat/), [Ankur Bapna](https://md.research.elamur.ai/free/en/authors/ankur-bapna/), Melvin Johnson, George Foster and Wolfgang Macherey appear on both papers here. Other co-authors include Ashish Vaswani, Mike Schuster, Colin Cherry and Dmitry Lepikhin. Mia Chen has 2 papers in our library, in 2018–2019, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Ankur Bapna](https://md.research.elamur.ai/free/en/authors/ankur-bapna/), [George Foster](https://md.research.elamur.ai/free/en/authors/george-foster/), [Melvin Johnson](https://md.research.elamur.ai/free/en/authors/melvin-johnson/). 2 papers in our library · 2018–2019 [OpenAlex](https://openalex.org/A5025244406) · [**h-index 9**](https://openalex.org/authors/A5025244406) · [10 works](https://openalex.org/works?filter=author.id:A5025244406) · [1,397 citations](https://openalex.org/works?filter=author.id:A5025244406&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mia-chen/#papers) · [🔗 1,694 citations in our library](https://md.research.elamur.ai/free/en/authors/mia-chen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #1847](https://md.research.elamur.ai/free/en/paper-stars/page/19/#star-1847) 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=Mia+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mia+Chen) · [dblp](https://dblp.org/search?q=Mia+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Mia+Chen) ## Affiliations [🏢**Google** Mountain View · United States 2018–2022 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/) ## Papers The most cited first (OpenAlex and our library). 1. **[Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/)** *(2019 · 555 citations)* The authors from Google AI investigate whether a single neural network can translate between many languages under real-world conditions, not only on small academic datasets. 2. **[The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/)** *(2018 · 552 citations)* New neural MT architectures such as ConvS2S and the Transformer usually come bundled with their own modeling and training techniques. ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Ankur Bapna](https://md.research.elamur.ai/free/en/authors/ankur-bapna/) ×2 - [George Foster](https://md.research.elamur.ai/free/en/authors/george-foster/) ×2 - [Melvin Johnson](https://md.research.elamur.ai/free/en/authors/melvin-johnson/) ×2 - [Orhan Firat](https://md.research.elamur.ai/free/en/authors/orhan-firat/) ×2 - [Wolfgang Macherey](https://md.research.elamur.ai/free/en/authors/wolfgang-macherey/) ×2 - [Ashish Vaswani](https://md.research.elamur.ai/free/en/authors/ashish-vaswani/) - [Colin Cherry](https://md.research.elamur.ai/free/en/authors/colin-cherry/) - [Dmitry Lepikhin](https://md.research.elamur.ai/free/en/authors/dmitry-lepikhin/) - [Jakob Uszkoreit](https://md.research.elamur.ai/free/en/authors/jakob-uszkoreit/) - [Llion Jones](https://md.research.elamur.ai/free/en/authors/llion-jones/) - [Maxim Krikun](https://md.research.elamur.ai/free/en/authors/maxim-krikun/) - [Mike Schuster](https://md.research.elamur.ai/free/en/authors/mike-schuster/) ## Cited by Papers of our library cite their works 1,694 times (of the 140,884 papers whose bibliographies we read); [107 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mia-chen/cited-by/).