Huda Khayrallah
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 15
- Topic Modeling 14
- Text Readability and Simplification 4
- Speech and dialogue systems 1
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- Multimodal Machine Learning Applications 7
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- Online Learning and Analytics 1
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- Software Engineering Research 1
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- Data Quality and Management 1
- Co-authors
- Philipp KoehnKevin DuhBrian J. ThompsonKenneth HeafieldMatt PostMikel L. ForcadaTongfei ChenBenjamin Van Durme
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Edinburgh Research Explorer (University of Edinburgh) (3 papers)Edinburgh Research Explorer (4 papers)Conference of the Association for Machine Translation in the Americas (1 paper)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Huda Khayrallah
15 papers receiving 244 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 263
- Computer Vision and Pattern Recognition 114
- Computer Science Applications 10
- Software 4
- Information Systems 17
Countries citing papers authored by Huda Khayrallah
This map shows the geographic impact of Huda Khayrallah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huda Khayrallah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huda Khayrallah more than expected).
Fields of papers citing papers by Huda Khayrallah
This network shows the impact of papers produced by Huda Khayrallah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huda Khayrallah. The network helps show where Huda Khayrallah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huda Khayrallah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 62 | |
| 7 | 2019 | 63 | |
| 8 | 2019 | 7 | |
| 9 | Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract) | 2018 | 2 |
| 10 | 2018 | 4 | |
| 11 | 2018 | 62 | |
| 12 | 2018 | 28 | |
| 13 | Neural Lattice Search for Domain Adaptation in Machine Translation | 2017 | 17 |
| 14 | 2017 | 8 | |
| 15 | 2016 | 11 | |
| 16 | Translation of Unknown Words in Low Resource Languages | 2016 | 5 |
| 17 | 2013 | 10 |
About Huda Khayrallah
Huda Khayrallah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 17 papers that have together received 284 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers), Multimodal Machine Learning Applications (7 papers), Text Readability and Simplification (4 papers), Online Learning and Analytics (1 paper), Data Quality and Management (1 paper), Speech and dialogue systems (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (263 citations), Computer Vision and Pattern Recognition (114 citations) and Computer Science Applications (10 citations). Huda Khayrallah has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Philipp Koehn, Kevin Duh, Brian J. Thompson, Kenneth Heafield, Matt Post, Mikel L. Forcada, Tongfei Chen, Benjamin Van Durme, J. Edward Hu and Patrick Xia. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh), Edinburgh Research Explorer and Conference of the Association for Machine Translation in the Americas.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.