Christian Boitet

1000 total citations
64 papers, 391 citations indexed

About

Christian Boitet is a scholar working on Artificial Intelligence, Language and Linguistics and Computational Theory and Mathematics. According to data from OpenAlex, Christian Boitet has authored 64 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 13 papers in Language and Linguistics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Christian Boitet's work include Natural Language Processing Techniques (49 papers), Speech and dialogue systems (15 papers) and Topic Modeling (14 papers). Christian Boitet is often cited by papers focused on Natural Language Processing Techniques (49 papers), Speech and dialogue systems (15 papers) and Topic Modeling (14 papers). Christian Boitet collaborates with scholars based in France, Japan and Jordan. Christian Boitet's co-authors include Bernard Vauquois, Gilles Sérasset, Kyo Kageura, Laurent Besacier, Aline Villavicencio, Carlos Ramisch, Mathieu Lafourcade, Laurent Romary, Jean Sénellart and Susan Armstrong and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Linguistics.

In The Last Decade

Christian Boitet

52 papers receiving 281 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Boitet France 10 356 53 27 23 20 64 391
Mary S. Neff United States 9 222 0.6× 57 1.1× 38 1.4× 18 0.8× 10 0.5× 17 261
Martin Reynaert Netherlands 8 205 0.6× 34 0.6× 24 0.9× 34 1.5× 19 0.9× 24 255
Kepa Sarasola Spain 11 350 1.0× 68 1.3× 33 1.2× 5 0.2× 11 0.6× 69 383
Rani Nelken United States 9 201 0.6× 20 0.4× 28 1.0× 17 0.7× 12 0.6× 18 234
Satoshi Sato Japan 11 502 1.4× 45 0.8× 52 1.9× 10 0.4× 23 1.1× 79 545
Kenneth R. Beesley France 8 279 0.8× 57 1.1× 20 0.7× 48 2.1× 13 0.7× 17 314
Rémi Zajac United States 10 285 0.8× 36 0.7× 47 1.7× 26 1.1× 6 0.3× 36 320
George Kiraz United Kingdom 8 234 0.7× 49 0.9× 16 0.6× 65 2.8× 16 0.8× 52 307
Irene Langkilde United States 8 597 1.7× 26 0.5× 39 1.4× 8 0.3× 13 0.7× 8 615
Wojciech Skut Germany 7 358 1.0× 62 1.2× 24 0.9× 17 0.7× 14 0.7× 15 388

Countries citing papers authored by Christian Boitet

Since Specialization
Citations

This map shows the geographic impact of Christian Boitet'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 Christian Boitet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Boitet more than expected).

Fields of papers citing papers by Christian Boitet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Boitet. 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 Christian Boitet. The network helps show where Christian Boitet may publish in the future.

Co-authorship network of co-authors of Christian Boitet

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Boitet. A scholar is included among the top collaborators of Christian Boitet 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 Christian Boitet. Christian Boitet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Boitet, Christian, et al.. (2012). Heloise —- A Reengineering of Ariane-G5 SLLPs for Application to $pi$-languages. International Conference on Computational Linguistics. 113–124. 1 indexed citations
2.
Zhang, Ying, et al.. (2012). Demo of iMAG Possibilities: MT-postediting, Translation Quality Evaluation, Parallel Corpus Production. International Conference on Computational Linguistics. 475–482.
3.
Boitet, Christian, et al.. (2011). Learning-to-Translate Based on the S-SSTC Annotation Schema. Pacific Asia Conference on Language, Information, and Computation. 477–484. 1 indexed citations
4.
Ramisch, Carlos, Aline Villavicencio, & Christian Boitet. (2010). Web-based and combined language models: a case study on noun compound identiï¬cation. International Conference on Computational Linguistics. 1041–1049. 5 indexed citations
5.
Boitet, Christian, et al.. (2008). SECTra_w.1 : an Online Collaborative System for Evaluating, Post-editing and Presenting MT Translation Corpora. Language Resources and Evaluation. 2 indexed citations
6.
Boitet, Christian, et al.. (2007). Pour l'évaluation externe des systèmes de TA par des méthodes fondées sur la tâche. 48. 33–65. 1 indexed citations
7.
Boitet, Christian. (2007). Corpus pour la TA : types, tailles et problèmes associés, selon leur usage et le type de système. Revue française de linguistique appliquée. XII(1). 25–25. 3 indexed citations
8.
Boitet, Christian, et al.. (2006). IWSLT-06: experiments with commercial MT systems and lessons from subjective evaluations.. IWSLT. 23–30. 7 indexed citations
9.
Boitet, Christian. (2005). Gradable Quality Translations through Mutualization of Human Translation and Revision, and UNL-Based MT and Coedition. Research in computing science. 12. 395–412. 4 indexed citations
10.
Boitet, Christian. (2005). A Rationale for Using UNL as an Interlingua and More in Various Domains. Research in computing science. 12. 3–9. 5 indexed citations
11.
Boitet, Christian, et al.. (2005). A "Pivot" XML-Based Architecture for Multilingual, Multiversion Documents: Parallel Monolingual Documents Aligned Through a Central Correspondence Descriptor and Possible Use of UNL. Research in computing science. 12. 309–325. 2 indexed citations
12.
Kageura, Kyo, et al.. (2005). A Framework for Data Management for the Online Volunteer Translators’ Aid System QRLex. Pacific Asia Conference on Language, Information, and Computation. 51–60. 3 indexed citations
13.
Boitet, Christian, et al.. (2004). Spoken dialogue translation systems evaluation: results, new trends, problems and proposals.. IWSLT. 95–102. 5 indexed citations
14.
Boitet, Christian, et al.. (2004). Towards fairer evaluations of commercial MT systems on basic travel expressions corpora.. IWSLT. 21–26. 8 indexed citations
15.
Lafourcade, Mathieu & Christian Boitet. (2002). UNL Lexical Selection with Conceptual Vectors. Language Resources and Evaluation. 4 indexed citations
16.
Boitet, Christian, et al.. (1998). Proceedings of the 17th international conference on Computational linguistics - Volume 1. International Conference on Computational Linguistics. 57 indexed citations
17.
Boitet, Christian, et al.. (1998). Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1. Meeting of the Association for Computational Linguistics. 25 indexed citations
18.
Boitet, Christian. (1997). (Human-aided) machine translation: a better future?. Cambridge University Press eBooks. 251–257. 2 indexed citations
19.
Boitet, Christian. (1997). Machine-aided human translation. Cambridge University Press eBooks. 257–261. 3 indexed citations
20.
Vauquois, Bernard & Christian Boitet. (1985). Automated translation at Grenoble University. Computational Linguistics. 11(1). 28–36. 44 indexed citations

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.

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