--- title: "Hany Hassan — author profile and papers" description: "Hany Hassan, Microsoft (United States): 2 papers on Elamur Research (2018), h-index 20 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/hany-hassan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hany-hassan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hany Hassan # Hany Hassan Hany Hassan works on machine translation. The papers here look at neural translation systems, at how they can serve languages with very little training data, and at how claims about translation quality should be tested. The methods include attentional encoder-decoder models, multilingual training that shares information across languages, and human evaluation by bilingual judges. The most cited paper here is [Achieving Human Parity on Automatic Chinese to English News Translation](https://md.research.elamur.ai/free/en/papers/hassan-2018-achieving-human-parity-automatic-chinese/) (2018). It begins by turning the question of whether a system can equal professional translators into something that can be checked. Parity is reached when bilingual raters judge machine output and professional renderings of one shared test set and their scores show no statistically significant difference. The paper argues that reference-based metrics such as BLEU can punish acceptable alternative phrasings and that references themselves are often unreliable, so it relies on source-based direct assessment instead. It then describes [Microsoft](https://md.research.elamur.ai/free/en/companies/microsoft/)'s Chinese-to-English neural system. The second paper, [Universal Neural Machine Translation for Extremely Low Resource Languages](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/) (2018), addresses languages where parallel text is scarce, sometimes limited to a handful of thousands of sentence pairs and sometimes absent entirely. It extends an existing multilingual setup that translates several languages into English by adding two mechanisms for sharing across languages. Both papers here date from 2018. Together they point in two directions: careful human-centred [evaluation](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) of strong systems, and extending neural translation to [low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/). Hassan's current affiliation is Microsoft in Redmond, with bylines from 2011 to 2024. Earlier papers list IBM in Giza, Egypt, from 2003 to 2009, and [Dublin City University](https://md.research.elamur.ai/free/en/universities/dublin-city-university/) from 2006 to 2008. Co-authors on the work here include [Jiatao Gu](https://md.research.elamur.ai/free/en/authors/jiatao-gu/), [Victor O.K. Li](https://md.research.elamur.ai/free/en/authors/victor-o-k-li/), [Christian Federmann](https://md.research.elamur.ai/free/en/authors/christian-federmann/) and [Marcin Junczys-Dowmunt](https://md.research.elamur.ai/free/en/authors/marcin-junczys-dowmunt/). Hany Hassan has 2 papers in our library, in 2018, 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/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Christian Federmann](https://md.research.elamur.ai/free/en/authors/christian-federmann/), [Jacob Devlin](https://md.research.elamur.ai/free/en/authors/jacob-devlin/), [Jiatao Gu](https://md.research.elamur.ai/free/en/authors/jiatao-gu/). 2 papers in our library · 2018 current affiliation [Microsoft (United States)](https://md.research.elamur.ai/free/en/companies/microsoft/), Redmond, United States [OpenAlex](https://openalex.org/A5109522253) · [**h-index 20**](https://openalex.org/authors/A5109522253) · [50 works](https://openalex.org/works?filter=author.id:A5109522253) · [1 892 citations](https://openalex.org/works?filter=author.id:A5109522253&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works in our library](https://md.research.elamur.ai/free/en/authors/hany-hassan/#papers) · [509 citations in our library](https://md.research.elamur.ai/free/en/authors/hany-hassan/cited-by/) · 5 more works in our library · [⭐ Paper Star rank #1788](https://md.research.elamur.ai/free/en/paper-stars/page/18/#star-1788) 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=Hany+Hassan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hany+Hassan) · [dblp](https://dblp.org/search?q=Hany+Hassan) · [ACL Anthology](https://aclanthology.org/search/?q=Hany+Hassan) ## Affiliations - [Microsoft (United States)](https://md.research.elamur.ai/free/en/companies/microsoft/) · Redmond, United States —current · 2011–2024 on 23 papers - [IBM (Egypt)](https://ror.org/04zpt4h82) · Giza, Egypt —2003–2009 on 8 papers - [Dublin City University](https://md.research.elamur.ai/free/en/universities/dublin-city-university/) · Dublin, Ireland —2006–2008 on 4 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. ## 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/) · [Low-resource languages 1](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2010s [**2018** 2 papers](https://md.research.elamur.ai/free/en/authors/hany-hassan/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[Achieving Human Parity on Automatic Chinese to English News Translation](https://md.research.elamur.ai/free/en/papers/hassan-2018-achieving-human-parity-automatic-chinese/)** *(2018 · 794 citations)* The paper asks whether machine translation can match professional human translators, and first makes that question testable. 2. **[Universal Neural Machine Translation for Extremely Low Resource Languages](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/)** *(2018 · 356 citations)* Neural machine translation usually depends on millions of sentence pairs, so it performs poorly for languages with only a few thousand parallel sentences or none at all. ## Also in our library 5 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Christian Federmann](https://md.research.elamur.ai/free/en/authors/christian-federmann/) - [Jacob Devlin](https://md.research.elamur.ai/free/en/authors/jacob-devlin/) - [Jiatao Gu](https://md.research.elamur.ai/free/en/authors/jiatao-gu/) - [Jonathan H. Clark](https://md.research.elamur.ai/free/en/authors/jonathan-h-clark/) - [Marcin Junczys-Dowmunt](https://md.research.elamur.ai/free/en/authors/marcin-junczys-dowmunt/) - [Mu Li](https://md.research.elamur.ai/free/en/authors/mu-li/) - [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/) - [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/) - [Victor O.K. Li](https://md.research.elamur.ai/free/en/authors/victor-o-k-li/) - [William Lewis](https://md.research.elamur.ai/free/en/authors/william-lewis/) ## Cited by Papers of our library cite their works 509 times (of the 140 884 papers whose bibliographies we read); [50 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hany-hassan/cited-by/).