Research · Leadership · Language Technology

Dr Mo El-Haj

Associate Professor in Natural Language Processing · Director, NLP @ VinUniversity

Multilingual NLP, Arabic language technology, large language models, language resources, financial NLP, text summarisation and information extraction.

I develop NLP methods, datasets and research infrastructure for multilingual and under-resourced language settings, with a long-standing focus on Arabic and work spanning English, Spanish, Portuguese, Welsh and other languages. My research connects language technology with domains including finance, health, education and cultural heritage.

Dr Mo El-Haj
VinUniversity · Hanoi, VietnamVisiting research role at Lancaster University, UK
100+publications & scholarly outputs
15+ yearsdeveloping NLP resources and methods
MultilingualArabic, English, Spanish, Portuguese, Welsh & more
FHEAFellow of the Higher Education Academy
Profile

Researching language technology across languages, domains and communities

I am the Director of the NLP @ VinUniversity Research Group and a Reader (Associate Professor) in Natural Language Processing at the College of Engineering & Computer Science, VinUniversity, Hanoi. I also hold a visiting research role at Lancaster University.

My doctoral research at the University of Essex focused on Arabic multi-document summarisation. Since then, my work has expanded across multilingual NLP, language resources, information extraction, financial NLP, biomedical applications, text classification and large language models.

A recurring theme across my research is building resources and systems that make language technology more useful for under-resourced languages and domain-specific settings, and releasing datasets, models and tools so that others can build on the work.

Research

Research focus

My work spans core NLP research, multilingual resource development and applied language technology, with particular interest in settings where language, data or domain constraints make standard approaches insufficient.

01

Multilingual & Low-Resource NLP

Methods and resources for languages that remain under-represented in mainstream NLP research and evaluation.

02

Arabic NLP

Arabic language resources, summarisation, readability, dialects, text classification and domain-specific language technology.

03

Large Language Models

Multilingual language modelling, generative AI, model evaluation and adaptation for specialised tasks and languages.

04

Financial & Domain NLP

Financial narrative processing, information extraction and language technologies for specialised professional domains.

05

Summarisation & Information Extraction

Automatic text summarisation, structured information extraction, document understanding and evaluation.

06

Biomedical & Applied NLP

Applications of NLP to health, medicine, education, cultural heritage and other interdisciplinary settings.

Current & Recent Work

Research projects

My current research brings together multilingual NLP, large language models, low-resource language technology, human-centred evaluation and the development of open datasets and research infrastructure. Many of these projects are led through NLP @ VinUniversity and developed with international research partners.

01
NEW

PolicyVerse

Multilingual Multi-Agent LLMs for Policy Reasoning

Developing multilingual retrieval, policy world models and multi-agent reasoning systems for analysing complex policy information across English, Portuguese, Vietnamese and Welsh.

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02
NEW

PolyDrift

Instruction-Language Drift in Multilingual LLMs

Investigating how adapted multilingual instruction-tuned LLMs change their language behaviour, including when models unexpectedly drift away from the language requested by users.

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03

FreeTxt-Vi

Vietnamese-English Free-Text Survey Analysis

Extending multilingual free-text analysis to Vietnamese through segmentation, sentiment analysis and abstractive summarisation, supported by dedicated benchmarks and open NLP resources.

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04

FreeTxt | TestunRhydd

Welsh/English FreeTxt Project. Discover. Analyse. Visualise

FreeTxt was developed as part of an AHRC-funded collaborative research project – ‘FreeTxt supporting bilingual free-text survey and questionnaire data analysis’ - involving colleagues from Cardiff University and Lancaster University (Grant Number AH/W004844/1).

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05

AraDetox

Arabic Text Detoxification

Developing a large-scale multidialect Arabic resource for offensive language rewriting, meaning preservation and safer text generation, supported by extensive human evaluation.

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06

AraFinNews

Arabic Financial Summarisation with Domain-Adapted LLMs

Research on Arabic financial narrative understanding and summarisation using domain-adapted language models, accompanied by open datasets and models for financial NLP.

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Open research

Language resources, datasets, models and tools

I maintain research resources across several repositories and communities so that datasets, code and models remain accessible and reusable.

Research training

PhD supervision

My supervision spans multilingual NLP, biomedical language technology, Arabic NLP, readability and source-code summarisation.

Current PhD students

Nguyen Huy HungMultimodal biomedical NLP
Gigi AlshahraniMachine learning for offensive content detection across Arabic dialects
Salim Al MandhariArabic automatic readability assessment

Previous PhD students

Dr Jesse PhillipsAutomated generation of meaningful and coherent source-code documentation using NLP
Dr Damith Dola MullageDeep learning models to identify ethical misconducts in legal documents
Dr Chiamaka ChukwunekeNamed entity recognition for African languages, with a focus on Igbo
Dr Nadhem ZmandarMultilingual financial summarisation
Academic service

Doctoral examination

I have served as an external and internal examiner for doctoral research across UK and international universities.

External PhD examinations
  • Dr Reyhaneh Hashempour — University of Essex
  • Dr Ethan Bradley — Queen's University Belfast
  • Dr Mona Alshehri — University of Sussex
  • Dr Abdullah Alsaleh — University of Leeds
  • Dr Mary Fouad — University of Sussex
  • Dr Haviz Rizwan Iqbal — Information Technology University of the Punjab
  • Dr Fatimah Al-Qahtani — King's College London
  • Dr Taghreed Tarmom — University of Leeds
  • Dr Alaa Alqahtani — University of Birmingham
  • Dr Chatrine Qwaider — University of Gothenburg
  • Dr Mohammed Hamed Altamimi — Bangor University
  • Dr Maher Itani — Sheffield Hallam University
Internal PhD examinations
  • Dr Matthew Coole — Lancaster University
  • Dr Edward Dearden — Lancaster University
  • Dr Lama Alsudias — Lancaster University
  • Dr Ronghui Mu — Lancaster University [Chair]
Background

Education & recognition

Education

2012
PhD in Computer ScienceUniversity of Essex
2008
MSc in Information SystemsUniversity of Jordan
2005
BSc in Computer Information SystemsUniversity of Jordan

Awards & professional recognition

2021
Fellowship of the Higher Education Academy (FHEA)Advance HE, UK
2016
Best audience-facing toolWinning team, BBC NewsHack, London
2011
Fully funded internshipNational Institute of Informatics, Tokyo
2009
Best Paper Award4th Language and Technology Conference, Poznań
Research profile

Publications from 2007 to 2026

Browse the full publication record, including recent work on multilingual LLMs, Arabic NLP, language resources, summarisation, financial NLP and applied language technology.

Explore publications