Nasredine Semmar
- Artificial Intelligence top 10%
- Information Systems
- Molecular Biology
- Language and Linguistics
- Computer Vision and Pattern Recognition
- Co-authors
- Pierre ZweigenbaumRichard JohanssonRomaric BesançonFatiha SadatOlivier FerretGregory GrefenstetteSimon DobnikJean-Philippe Bernardy
- Topics
- Natural Language Processing Techniques (30 papers)Topic Modeling (25 papers)Text Readability and Simplification (9 papers)
- Journals
- Language Resources and EvaluationJournal of Information ScienceHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceSwedenUnited States
In The Last Decade
Nasredine Semmar
32 papers receiving 172 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 173
- Information Systems 23
- Molecular Biology 21
- Language and Linguistics 18
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Nasredine Semmar
This map shows the geographic impact of Nasredine Semmar'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 Nasredine Semmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasredine Semmar more than expected).
Fields of papers citing papers by Nasredine Semmar
This network shows the impact of papers produced by Nasredine Semmar. 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 Nasredine Semmar. The network helps show where Nasredine Semmar may publish in the future.
Co-authorship network of co-authors of Nasredine Semmar
This figure shows the co-authorship network connecting the top 25 collaborators of Nasredine Semmar. A scholar is included among the top collaborators of Nasredine Semmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nasredine Semmar. Nasredine Semmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora | 3 |
| 5 | Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets | 4 |
| 6 | A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts | 19 |
| 7 | 1 | |
| 8 | Automatic Detection of Arabicized Berber and Arabic Varieties | 11 |
| 9 | ASIREM Participation at the Discriminating Similar Languages Shared Task 2016 | 4 |
| 10 | Romanized Berber and Romanized Arabic Automatic Language Identification Using Machine Learning | 7 |
| 11 | Evaluating the Impact of Using a Domain-specific Bilingual Lexicon on the Performance of a Hybrid Machine Translation Approach | 1 |
| 12 | Using WordNet and Semantic Similarity for Bilingual Terminology Mining from Comparable Corpora | 3 |
| 13 | Context Vector Disambiguation for Bilingual Lexicon Extraction from Comparable Corpora | 9 |
| 14 | Building Specialized Bilingual Lexicons Using Word Sense Disambiguation | 3 |
| 15 | Using Transliteration of Proper Names from Arabic to Latin Script to Improve English-Arabic Word Alignment | 4 |
| 16 | 5 | |
| 17 | Identifying bilingual Multi-Word Expressions for Statistical Machine Translation | 31 |
| 18 | MLIF : A Metamodel to Represent and Exchange Multilingual Textual Information | 0 |
| 19 | 17 | |
| 20 | A Deep Linguistic Analysis for Cross-language Information Retrieval | 1 |
About Nasredine Semmar
Nasredine Semmar is a scholar working on Artificial Intelligence, Language and Linguistics and Signal Processing, having authored 34 papers that have together received 192 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Topic Modeling (25 papers) and Text Readability and Simplification (9 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Language and Linguistics (18 citations) and Human-Computer Interaction (6 citations). Nasredine Semmar has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Pierre Zweigenbaum, Richard Johansson, Romaric Besançon, Fatiha Sadat, Olivier Ferret, Gregory Grefenstette, Simon Dobnik, Jean-Philippe Bernardy, Samir Elloumi and Adrian Popescu. Their work appears in journals such as Language Resources and Evaluation, Journal of Information Science and HAL (Le Centre pour la Communication Scientifique Directe).
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.