Ruslan Mitkov
List of John Benjamins publications for which Ruslan Mitkov plays a role.
Book series
ISSN 1567-8202
Titles
Multiword Units in Machine Translation and Translation Technology
Edited by Ruslan Mitkov, Johanna Monti, Gloria Corpas Pastor and Violeta Seretan
[Current Issues in Linguistic Theory, 341] 2018. ix, 259 pp.
Subjects Computational & corpus linguistics | Natural language processing | Syntax | Theoretical linguistics | Translation Studies
Recent Advances in Natural Language Processing V: Selected papers from RANLP 2007
Edited by Nicolas Nicolov, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory, 309] 2009. x, 338 pp.
Subjects Computational & corpus linguistics | Theoretical linguistics
Recent Advances in Natural Language Processing IV: Selected papers from RANLP 2005
Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory, 292] 2007. xii, 307 pp.
Subjects Computational & corpus linguistics | Theoretical linguistics
Anaphora Processing: Linguistic, cognitive and computational modelling
Edited by António Branco, Tony McEnery and Ruslan Mitkov
[Current Issues in Linguistic Theory, 263] 2005. x, 449 pp.
Subjects Natural language processing | Psycholinguistics | Semantics | Syntax
Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003
Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory, 260] 2004. xii, 402 pp.
Subjects Natural language processing | Theoretical linguistics
Recent Advances in Natural Language Processing: Volume II: Selected papers from RANLP ’97
Edited by Nicolas Nicolov and Ruslan Mitkov
[Current Issues in Linguistic Theory, 189] 2000. xi, 422 pp.
Subjects Natural language processing | Theoretical linguistics
Recent Advances in Natural Language Processing: Selected Papers from RANLP ’95
Edited by Ruslan Mitkov and Nicolas Nicolov
[Current Issues in Linguistic Theory, 136] 1997. xii, 472 pp.
Subjects Natural language processing
Articles
2023. Source language difficulties in learner translation: Evidence from an error-annotated corpus. Target 35:1, pp. 34–62
This study uses an error-annotated, mass-media subset of a sentence-aligned, multi-parallel learner translator corpus to reveal source-language items that are challenging in English–Russian translation. Our data includes multiple translations of the most challenging source sentences, drawn from… read more | Article
2021. Chapter 4. Semantic textual similarity based on deep learning: Can it improve matching and retrieval for Translation Memory tools?. Corpora in Translation and Contrastive Research in the Digital Age: Recent advances and explorations, Lavid-López, Julia, Carmen Maíz-Arévalo and Juan Rafael Zamorano-Mansilla (eds.), pp. 101–124
This study proposes an original methodology to underpin the operation of new generation Translation Memory (TM) systems where the translations to be retrieved from the TM database are matched not on the basis of Levenshtein (edit) distance but by employing innovative Natural Language Processing… read more | Chapter
2020. What matters more: The size of the corpora or their quality? The case of automatic translation of multiword expressions using comparable corpora. Computational Phraseology, Corpas Pastor, Gloria and Jean-Pierre Colson (eds.), pp. 177–188
This study investigates (and compares) the impact of the size and the similarity/quality of comparable corpora on the specific task of extracting translation equivalents of verb-noun collocations from such corpora. The comprehensive evaluation of different configurations of English and Spanish… read more | Chapter
2018. A flexible framework for collocation retrieval and translation from parallel and comparable corpora. Multiword Units in Machine Translation and Translation Technology, Mitkov, Ruslan, Johanna Monti, Gloria Corpas Pastor and Violeta Seretan (eds.), pp. 163–180
This paper outlines a methodology and a system for collocation retrieval and translation from parallel and comparable corpora, developed with translators and language learners in mind. It is based on a phraseology framework, applies statistical techniques, and employs source tools and online… read more | Chapter
2018. Multiword units in machine translation and translation technology. Multiword Units in Machine Translation and Translation Technology, Mitkov, Ruslan, Johanna Monti, Gloria Corpas Pastor and Violeta Seretan (eds.), pp. 1–38
The correct interpretation of Multiword Units (MWUs) is crucial to many applications in Natural Language Processing but is a challenging and complex task. In recent years, the computational treatment of MWUs has received considerable attention but we believe that there is much more to be done… read more | Chapter
2004. Using bilingual corpora to improve pronoun resolution. Languages in Contrast 4:2, pp. 201–211
This paper shows that aligned bilingual English-French corpora offer the advantage of improving the performance of anaphora resolution in both languages. It sets out a new ‘mutual enhancement’ methodology and discusses the results obtained from running the enhanced anaphora resolution algorithms… read more | Article
2000. Pronoun resolution: The practical alternative. Corpus-based and Computational Approaches to Discourse Anaphora, Botley, Simon Philip and Tony McEnery (eds.), pp. 129 ff.
Article
2000. Robust reference resolution with limited knowledge: High precision genre-specific approach for English and Polish. Recent Advances in Natural Language Processing: Volume II: Selected papers from RANLP ’97, Nicolov, Nicolas and Ruslan Mitkov (eds.), pp. 143 ff.
Article
1999. Towards Automatic Annotation of Anaphoric Links in Corpora. International Journal of Corpus Linguistics 4:2, pp. 261–280
The paper proposes a methodology for the semi-automatic annotation of pronoun-antecedent pairs in corpora. The proposal is based on robust, knowledge-poor pronoun resolution followed by post-editing. The paper is structured as follows. The introduction comments on the fact that automatic… read more | Article
1998. On the Complexity of Pronominal Anaphora Resolution in Machine Translation. Mathematical and Computational Analysis of Natural Language: Selected papers from the 2nd International Conference on Mathematical Linguistics (ICML ’96), Tarragona, 1996, Martín-Vide, Carlos (ed.), pp. 207 ff.
Article
1997. Two engines are better than one: Generating more power and confidence in the search for the antecedent. Recent Advances in Natural Language Processing: Selected Papers from RANLP ’95, Mitkov, Ruslan and Nicolas Nicolov (eds.), pp. 225–234
Article