Péter Dienes


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Aligning Needles in a Haystack: Paraphrase Acquisition Across the Web
Marius Paşca | Péter Dienes
Second International Joint Conference on Natural Language Processing: Full Papers


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Deep Syntactic Processing by Combining Shallow Methods
Péter Dienes | Amit Dubey
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

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Antecedent Recovery: Experiments with a Trace Tagger
Péter Dienes | Amit Dubey
Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing


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Efficient Stochastic Part-of-Speech Tagging for Hungarian
Csaba Oravecz | Péter Dienes
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)


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New generation Systran translation system
Jean Senellart | Péter Dienes | Tamás Váradi
Proceedings of Machine Translation Summit VIII

In this paper, we present the design of the new generation Systran translation systems, currently utilized in the development of English-Hungarian, English-Polish, English-Arabic, French-Arabic, Hungarian-French and Polish-French language pairs. The new design, based on the traditional Systran machine translation expertise and the existing linguistic resources, addresses the following aspects: efficiency, modularity, declarativity, reusability, and maintainability. Technically, the new systems rely on intensive use of state-of-the-art finite automaton and formal grammar implementation. The finite automata provide the essential lookup facilities and the natural capacity of factorizing intuitive linguistic sets. Linguistically, we have introduced a full monolingual description of linguistic information and the concept of implicit transfer. Finally, we present some by-products that are directly derived from the new architecture: intuitive coding tools, spell checker and syntactic tagger.


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Principled Hidden Tagset Design for Tiered Tagging of Hungarian
Dan Tufiş | Péter Dienes | Csaba Oravecz | Tamás Váradi
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

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Bottom-Up Tagset Design from Maximally Reduced Tagset
Péter Dienes | Csaba Oravecz
Proceedings of the COLING-2000 Workshop on Linguistically Interpreted Corpora