Nicolas Stroppa

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In this paper, we introduce context-informed features in a log-linear phrase-based SMT framework; these features enable us to exploit source similarity in addition to target similarity modeled by the language model. We present a memory-based classification framework that enables the estimation of these features while avoiding sparseness problems. We(More)
We describe a novel approach to example-based machine translation that makes use of marker-based chunks, in which the de-coder is a memory-based classifier. The classifier is trained to map trigrams of source-language chunks onto trigrams of target-language chunks; then, in a second decoding step, the predicted trigrams are rearranged according to their(More)
Basque is both a minority and a highly inflected language with free order of sentence constituents. Machine Translation of Basque is thus both a real need and a test bed for MT techniques. In this paper, we present a modular Data-Driven MT system which includes different chunkers as well as chunk aligners which can deal with the free order of sentence(More)
In this paper, we compare the rule­based and data­driven approaches in the context of Spanish­to­Basque Machine Translation. The rule­based system we consider has been developed specifically for Spanish­to­Basque machine translation, and is tuned to this language pair. On the contrary, the data­driven system we use is generic, and has not been specifically(More)
Function labels enrich constituency parse tree nodes with information about their abstract syntactic and semantic roles. A common way to obtain function-labeled trees is to use a two-stage architecture where first a statistical parser produces the constituent structure and then a second component such as a classifier adds the missing function tags. In order(More)
Apprentissage par analogie et proportions formelles : définitions et aspects méthodologiques Résumé L'apprentissage par analogie exploite un mécanisme inductif en deux étapes consistant à : (i) construire un appariement entre une nouvelle situation et des situations déjà connues ; (ii) transférer partiellement des propriétés de la situation analogue vers la(More)