![Fernando Alva Manchego](https://profiles-cardiff.imgix.net/attachments/4680?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Fernando Alva Manchego
(he/him)
- Available for postgraduate supervision
Teams and roles for Fernando Alva Manchego
Overview
I am a Lecturer (~Assistant Professor) at the School of Computer Science and Informatics at Cardiff University. My research focuses on technologies that apply Artificial Intelligence for information accessibility. In particular, my work employs Natural Language Processing approaches to facilitate reading and understanding. I am especially interested in studying the real capabilities of systems for several Natural Language Generartion tasks, such as Machine Translation, Summarisation and Text Simplification. In order to do that, my collaborators and I create language resources, design evaluation methodologies or metrics, and implement models using machine learning techniques.
My research interests include:
- Text-to-Text Generation (e.g. Text Simplification, Summarisation, Translation Machine, etc.)
- Evaluation of Natural Language Generation
- Writing Assistance
- Natural Language Processing for Education
Publication
2025
- Chaudhary, A. et al. 2025. Exploring the safe integration of generative AI in cybersecurity education: Addressing challenges in transparency, accuracy, and security. Presented at: 4th Annual Advances in Teaching and Learning for Cyber Security Education Bristol, UK 2 July 2024. Published in: Legg, P. , Coull, N. and Clarke, C. eds. Advances in Teaching and Learning for Cyber Security Education. Vol. 1213.Lecture Notes in Networks and Systems Vol. 1. Springer Cham. (10.1007/978-3-031-77524-6_1)
- Imperial, J. M. et al., 2025. UniversalCEFR: Enabling open multilingual research on language proficiency assessment. Presented at: Empirical Methods in Natural Language Processing (EMNLP 2025) Suzhou, China 4-11 November 2025.
- Khallaf, N. et al., 2025. FreeTxt: Analyse and visualise multilingual qualitative survey data for cultural heritage sites. Presented at: Recent Advances in Natural Language Processing (RANLP) 2025 Varna, Bulgaria 8 -10 September 2025.
- Maddela, M. and Alva Manchego, F. 2025. Adapting sentence-level automatic metrics for document-level simplification evaluation. Presented at: NAACL 2025 Albuquerque, New Mexico 29 April - 04 May 2025. Published in: Chiruzzo, L. , Ritter, A. and Wang, L. eds. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. Vol. 1.Association for Computational Linguistics. , pp.6444–6459. (10.18653/v1/2025.naacl-long.327)
- Mei, P. et al., 2025. If ChatGPT can do it, where is my creativity? generative AI boosts performance but diminishes experience in creative writing. Computers in Human Behavior: Artificial Humans 4 100140. (10.1016/j.chbah.2025.100140)
2023
- Kew, T. et al., 2023. BLESS: Benchmarking Large Language Models on Sentence Simplification. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing 6-10 December 2023. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. ACL. , pp.13291–13309. (10.18653/v1/2023.emnlp-main.821)
- Ushio, A. , Alva Manchego, F. and Camacho-Collados, J. 2023. A practical toolkit for multilingual question and answer generation. Presented at: 61st Annual Meeting of the Association for Computational Linguistics 9-14 July 2023. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Vol. 3.Association for Computational Linguistics. , pp.86-94. (10.18653/v1/2023.acl-demo.8)
- Ushio, A. , Alva Manchego, F. and Camacho-Collados, J. 2023. An empirical comparison of LM-based question and answer generation methods. Presented at: The 61st Annual Meeting of the Association for Computational Linguistics 9-14 July 2023. Findings of the Association for Computational Linguistics: ACL 2023. Toronto, Canada: Association for Computational Linguistics. , pp.14262-14272. (10.18653/v1/2023.findings-acl.899)
2022
- Alva Manchego, F. and Shardlow, M. 2022. Towards readability-controlled machine translation of COVID-19 texts. Presented at: 23rd Annual Conference of the European Association for Machine Translation Ghent, Belgium 1-3 June 2022. Published in: Moniz, H. et al., Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. European Association for Machine Translation. , pp.287–288.
- Bejarano, G. et al., 2022. PeruSIL: A framework to build a continuous Peruvian Sign Language interpretation dataset. Presented at: LREC2022: 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources Marseille, France 20-25 June 2022. Published in: Efthimiou, E. et al., Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources. European Language Resources Association. , pp.1-8.
- Miliani, M. et al., 2022. Neural readability pairwise ranking for sentences in Italian administrative language. Presented at: 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing Online only 20-23 November 2022. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. Vol. 1.Association for Computational Linguistics. , pp.849-866.
- Murrugarra-Llerena, J. , Alva Manchego, F. and Murrugarra-LLerena, N. 2022. Improving embeddings representations for comparing higher education curricula: A use case in computing. Presented at: 2022 Conference on Empirical Methods in Natural Language Processing 7-11 December 2022. Published in: Goldberg, Y. , Kozareva, Z. and Zhang, Y. eds. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11299–11307. (10.18653/v1/2022.emnlp-main.776)
- Shardlow, M. and Alva Manchego, F. 2022. Simple TICO-19: A dataset for joint translation and simplification of COVID-19 texts. Presented at: LREC 2022: Thirteenth Language Resources and Evaluation Conference Marseille, France 20-25 June 2022. Published in: Calzolari, N. et al., Proceedings of the Thirteenth Language Resources and Evaluation Conference. European Language Resources Association. , pp.3093–3102.
- Ushio, A. , Alva Manchego, F. and Camacho Collados, J. 2022. Generative language models for paragraph-level question generation. Presented at: Conference on Empirical Methods in Natural Language Processing Abu Dhabi, UAE 7-11 December 2022. Published in: Goldberg, Y. , Kozareva, Z. and Zhang, Y. eds. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.670-688. (10.18653/v1/2022.emnlp-main.42)
- Vasquez-Rodriguez, L. et al., 2022. A benchmark for neural readability assessment of texts in Spanish. Presented at: Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) Abu Dhabi, United Arab Emirates (Virtual) 8 December 2022. Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022). Stroudsburg, PA, USA: Association for Computational Linguistics. , pp.188-198.
2021
- Alva Manchego, F. , Scarton, C. and Specia, L. 2021. The (un)suitability of automatic evaluation metrics for text simplification. Computational Linguistics 47 (4), pp.861-889. (10.1162/coli_a_00418)
- Alva-Manchego, F. et al. 2021. deepQuest-py: large and distilled models for quality estimation. Presented at: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) Punta Cana, Dominican Republic 7-11 November 2021. Published in: Adel, H. and Shi, S. eds. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Association for Computational Linguistics. , pp.382-389. (10.18653/v1/2021.emnlp-demo.42)
- Gajbhiye, A. et al., 2021. Knowledge distillation for quality estimation. Presented at: 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) Bangkok, Thailand 1-6 August 2021. Published in: Zong, C. et al., Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics. , pp.5091-5099. (10.18653/v1/2021.findings-acl.452)
- Maddela, M. , Alva-Manchego, F. and Xu, W. 2021. Controllable text simplification with explicit paraphrasing. Presented at: 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics Virtual 06-11 June 2021. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. , pp.3536-3553. (10.18653/v1/2021.naacl-main.277)
- Rivas Rojas, K. and Alva-Manchego, F. 2021. IAPUCP at SemEval-2021 task 1: Stacking fine-tuned transformers is almost all you need for lexical complexity prediction. Presented at: 15th International Workshop on Semantic Evaluation (SemEval 2021) Virtual 05-06 August 2021. Published in: Palmer, A. et al., Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Association for Computational Linguistics. , pp.144-149. (10.18653/v1/2021.semeval-1.14)
2020
- Alva Manchego, F. et al. 2020. ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations. Presented at: ACL 2020: 58th Annual Meeting of the Association for Computational LinguisticsPublished in: Jurafsky, D. et al., Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. ACL. , pp.4688-4679. (10.18653/v1/2020.acl-main.424)
- Alva Manchego, F. , Scarton, C. and Specia, L. 2020. Data-Driven Sentence Simplification: Survey and benchmark. Computational Linguistics 46 (1), pp.135-187. (10.1162/coli_a_00370)
2019
- Alva Manchego, F. et al. 2019. EASSE: Easier Automatic Sentence Simplification Evaluation. Presented at: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 3-7 November 2019. Published in: Pado, S. and Huang, R. eds. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. Association for Computational Linguistics. , pp.49-54. (10.18653/v1/D19-3009)
- Finnimore, P. et al., 2019. Strong baselines for complex word identification across multiple languages. Presented at: 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019) 2-7 June 2019. Published in: Burstein, J. , Doran, C. and Solorio, T. eds. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics. , pp.970-977. (10.18653/v1/N19-1102)
2016
- Vargas-Campos, I. and Alva Manchego, F. 2016. SciEsp: Structural analysis of abstracts written in Spanish. Computación y Sistemas 20 (3), pp.551-558. (10.13053/cys-20-3-2463)
2012
- Alva Manchego, F. E. and Rosa, J. L. G. 2012. Semantic role labeling for Brazilian Portuguese: A benchmark. Presented at: Advances in Artificial Intelligence – IBERAMIA 2012 13-16 November 2012. Published in: Pavon, J. , Duque-Mendez, N. D. and Fuentes-Fernandez, R. eds. Advances in Artificial Intelligence – IBERAMIA 2012: 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings. Vol. 7637.Lecture Notes in Computer Science Springer. , pp.481-490. (10.1007/978-3-642-34654-5_49)
- Alva Manchego, F. E. and Rosa, J. L. G. 2012. Towards semi-supervised Brazilian Portuguese semantic role labeling: Building a benchmark. Presented at: PROPOR: International Conference on Computational Processing of the Portuguese Language 17-20 April 2012. Published in: Caseli, H. et al., Computational Processing of the Portuguese Language: 10th International Conference, PROPOR 2012, Coimbra, Portugal, April 17-20, 2012. Proceedings. Vol. 7243.Springer. , pp.210-217. (10.1007/978-3-642-28885-2_24)
Articles
- Alva Manchego, F. , Scarton, C. and Specia, L. 2020. Data-Driven Sentence Simplification: Survey and benchmark. Computational Linguistics 46 (1), pp.135-187. (10.1162/coli_a_00370)
- Alva Manchego, F. , Scarton, C. and Specia, L. 2021. The (un)suitability of automatic evaluation metrics for text simplification. Computational Linguistics 47 (4), pp.861-889. (10.1162/coli_a_00418)
- Mei, P. et al., 2025. If ChatGPT can do it, where is my creativity? generative AI boosts performance but diminishes experience in creative writing. Computers in Human Behavior: Artificial Humans 4 100140. (10.1016/j.chbah.2025.100140)
- Vargas-Campos, I. and Alva Manchego, F. 2016. SciEsp: Structural analysis of abstracts written in Spanish. Computación y Sistemas 20 (3), pp.551-558. (10.13053/cys-20-3-2463)
Conferences
- Alva Manchego, F. et al. 2020. ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations. Presented at: ACL 2020: 58th Annual Meeting of the Association for Computational LinguisticsPublished in: Jurafsky, D. et al., Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. ACL. , pp.4688-4679. (10.18653/v1/2020.acl-main.424)
- Alva Manchego, F. et al. 2019. EASSE: Easier Automatic Sentence Simplification Evaluation. Presented at: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 3-7 November 2019. Published in: Pado, S. and Huang, R. eds. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations. Association for Computational Linguistics. , pp.49-54. (10.18653/v1/D19-3009)
- Alva Manchego, F. and Shardlow, M. 2022. Towards readability-controlled machine translation of COVID-19 texts. Presented at: 23rd Annual Conference of the European Association for Machine Translation Ghent, Belgium 1-3 June 2022. Published in: Moniz, H. et al., Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. European Association for Machine Translation. , pp.287–288.
- Alva Manchego, F. E. and Rosa, J. L. G. 2012. Semantic role labeling for Brazilian Portuguese: A benchmark. Presented at: Advances in Artificial Intelligence – IBERAMIA 2012 13-16 November 2012. Published in: Pavon, J. , Duque-Mendez, N. D. and Fuentes-Fernandez, R. eds. Advances in Artificial Intelligence – IBERAMIA 2012: 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings. Vol. 7637.Lecture Notes in Computer Science Springer. , pp.481-490. (10.1007/978-3-642-34654-5_49)
- Alva Manchego, F. E. and Rosa, J. L. G. 2012. Towards semi-supervised Brazilian Portuguese semantic role labeling: Building a benchmark. Presented at: PROPOR: International Conference on Computational Processing of the Portuguese Language 17-20 April 2012. Published in: Caseli, H. et al., Computational Processing of the Portuguese Language: 10th International Conference, PROPOR 2012, Coimbra, Portugal, April 17-20, 2012. Proceedings. Vol. 7243.Springer. , pp.210-217. (10.1007/978-3-642-28885-2_24)
- Alva-Manchego, F. et al. 2021. deepQuest-py: large and distilled models for quality estimation. Presented at: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) Punta Cana, Dominican Republic 7-11 November 2021. Published in: Adel, H. and Shi, S. eds. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Association for Computational Linguistics. , pp.382-389. (10.18653/v1/2021.emnlp-demo.42)
- Bejarano, G. et al., 2022. PeruSIL: A framework to build a continuous Peruvian Sign Language interpretation dataset. Presented at: LREC2022: 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources Marseille, France 20-25 June 2022. Published in: Efthimiou, E. et al., Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources. European Language Resources Association. , pp.1-8.
- Chaudhary, A. et al. 2025. Exploring the safe integration of generative AI in cybersecurity education: Addressing challenges in transparency, accuracy, and security. Presented at: 4th Annual Advances in Teaching and Learning for Cyber Security Education Bristol, UK 2 July 2024. Published in: Legg, P. , Coull, N. and Clarke, C. eds. Advances in Teaching and Learning for Cyber Security Education. Vol. 1213.Lecture Notes in Networks and Systems Vol. 1. Springer Cham. (10.1007/978-3-031-77524-6_1)
- Finnimore, P. et al., 2019. Strong baselines for complex word identification across multiple languages. Presented at: 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019) 2-7 June 2019. Published in: Burstein, J. , Doran, C. and Solorio, T. eds. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics. , pp.970-977. (10.18653/v1/N19-1102)
- Gajbhiye, A. et al., 2021. Knowledge distillation for quality estimation. Presented at: 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) Bangkok, Thailand 1-6 August 2021. Published in: Zong, C. et al., Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics. , pp.5091-5099. (10.18653/v1/2021.findings-acl.452)
- Imperial, J. M. et al., 2025. UniversalCEFR: Enabling open multilingual research on language proficiency assessment. Presented at: Empirical Methods in Natural Language Processing (EMNLP 2025) Suzhou, China 4-11 November 2025.
- Kew, T. et al., 2023. BLESS: Benchmarking Large Language Models on Sentence Simplification. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing 6-10 December 2023. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. ACL. , pp.13291–13309. (10.18653/v1/2023.emnlp-main.821)
- Khallaf, N. et al., 2025. FreeTxt: Analyse and visualise multilingual qualitative survey data for cultural heritage sites. Presented at: Recent Advances in Natural Language Processing (RANLP) 2025 Varna, Bulgaria 8 -10 September 2025.
- Maddela, M. and Alva Manchego, F. 2025. Adapting sentence-level automatic metrics for document-level simplification evaluation. Presented at: NAACL 2025 Albuquerque, New Mexico 29 April - 04 May 2025. Published in: Chiruzzo, L. , Ritter, A. and Wang, L. eds. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. Vol. 1.Association for Computational Linguistics. , pp.6444–6459. (10.18653/v1/2025.naacl-long.327)
- Maddela, M. , Alva-Manchego, F. and Xu, W. 2021. Controllable text simplification with explicit paraphrasing. Presented at: 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics Virtual 06-11 June 2021. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. , pp.3536-3553. (10.18653/v1/2021.naacl-main.277)
- Miliani, M. et al., 2022. Neural readability pairwise ranking for sentences in Italian administrative language. Presented at: 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing Online only 20-23 November 2022. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. Vol. 1.Association for Computational Linguistics. , pp.849-866.
- Murrugarra-Llerena, J. , Alva Manchego, F. and Murrugarra-LLerena, N. 2022. Improving embeddings representations for comparing higher education curricula: A use case in computing. Presented at: 2022 Conference on Empirical Methods in Natural Language Processing 7-11 December 2022. Published in: Goldberg, Y. , Kozareva, Z. and Zhang, Y. eds. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11299–11307. (10.18653/v1/2022.emnlp-main.776)
- Rivas Rojas, K. and Alva-Manchego, F. 2021. IAPUCP at SemEval-2021 task 1: Stacking fine-tuned transformers is almost all you need for lexical complexity prediction. Presented at: 15th International Workshop on Semantic Evaluation (SemEval 2021) Virtual 05-06 August 2021. Published in: Palmer, A. et al., Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Association for Computational Linguistics. , pp.144-149. (10.18653/v1/2021.semeval-1.14)
- Shardlow, M. and Alva Manchego, F. 2022. Simple TICO-19: A dataset for joint translation and simplification of COVID-19 texts. Presented at: LREC 2022: Thirteenth Language Resources and Evaluation Conference Marseille, France 20-25 June 2022. Published in: Calzolari, N. et al., Proceedings of the Thirteenth Language Resources and Evaluation Conference. European Language Resources Association. , pp.3093–3102.
- Ushio, A. , Alva Manchego, F. and Camacho Collados, J. 2022. Generative language models for paragraph-level question generation. Presented at: Conference on Empirical Methods in Natural Language Processing Abu Dhabi, UAE 7-11 December 2022. Published in: Goldberg, Y. , Kozareva, Z. and Zhang, Y. eds. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.670-688. (10.18653/v1/2022.emnlp-main.42)
- Ushio, A. , Alva Manchego, F. and Camacho-Collados, J. 2023. A practical toolkit for multilingual question and answer generation. Presented at: 61st Annual Meeting of the Association for Computational Linguistics 9-14 July 2023. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Vol. 3.Association for Computational Linguistics. , pp.86-94. (10.18653/v1/2023.acl-demo.8)
- Ushio, A. , Alva Manchego, F. and Camacho-Collados, J. 2023. An empirical comparison of LM-based question and answer generation methods. Presented at: The 61st Annual Meeting of the Association for Computational Linguistics 9-14 July 2023. Findings of the Association for Computational Linguistics: ACL 2023. Toronto, Canada: Association for Computational Linguistics. , pp.14262-14272. (10.18653/v1/2023.findings-acl.899)
- Vasquez-Rodriguez, L. et al., 2022. A benchmark for neural readability assessment of texts in Spanish. Presented at: Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) Abu Dhabi, United Arab Emirates (Virtual) 8 December 2022. Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022). Stroudsburg, PA, USA: Association for Computational Linguistics. , pp.188-198.
Biography
I joined the School of Computer Science and Informatics at Cardiff University in January 2022.
Previously, I was a Postdoctoral Research Associate at the University of Sheffield and a member of the Natural Language Processing Group (2020-2021). I worked with Prof. Lucia Specia for the APE-QUEST (EU CEF Integration Project) and Bergamot (EU's Horizon 2020) projects on Quality Estimation for Machine Translation.
I hold a PhD in Computer Science from the University of Sheffield focused on Automatic Text Simplification. My thesis title was: " Automatic Sentence Simplification with Multiple Rewriting Transformations". I was supervised by Prof. Lucia Specia and Dr. Carolina Scarton.
Before that, I worked as Adjunct Professor at the Pontifical Catholic University of Peru (2013-2016), where I was a member of the Artificial Intelligence Group IA-PUCP. During my Masters, I was also a member of the Interinstitutional Center for Computational Linguistics at the University of São Paulo.
Supervisions
I am interested in supervising PhD students in projects involving Natural Language Processing for Text Adaptation.
Please, check the relevant pages in FindAPhD for more information, depending on whether you are a self-funded student, or plan on applying to a School scholarhip. Do not hesitate to contact me if you have any questions!
Current supervision
Abdullah Barayan
Abdullah Alshatti
Contact Details
[email protected]
+44 29225 14738
Abacws, Room Room 4.64, Senghennydd Road, Cathays, Cardiff, CF24 4AG
+44 29225 14738
Abacws, Room Room 4.64, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Research themes
Specialisms
- AI
- Artificial intelligence
- Natural language processing
- Computational linguistics