Статистические методы

This paper describes a method for the automatic align- ment of parallel texts at clause level. The method fea- tures statistical techniques coupled with shallow linguis- tic processing. It presupposes …...

Research into the automatic acquisition of subcategorization frames from corpora is starting to produce large-scale computational lexicons which include valuable frequency in- formation. However, the accuracy of the resulting lexicons …...

AbstractWe describe MSR-MT, a large-scale example-based machine translation system under development for several language pairs. Trained on aligned English-Spanish technical prose, a blind evaluation shows that MSR-MT’s integration of rule-based …...

Current alternatives for language mod- eling are statistical techniques based on large amounts of training data, and hand-crafted context-free or finite-state grammars that are difficult to build and maintain. One …...

Motivated by the success of ensemble methods in machine learning and other areas of natu- ral language processing, we developed a multi- strategy and multi-source approach to question answering which …...

The paper addresses the issue of MT knowledge acquisition and describes a new hybrid methodology for automatic extraction of multi-word nominal termi- nology. The approach is based on statisti- cal …...

This paper describes a cognate identifica- tion method, used by a lexical alignment system for French and Romanian. We combine statistical techniques and lin- guistic information to extract cognates from …...

Sociolinguistic theories (e.g., Lakoff (1973)) postulate that women’s language styles differ from that of men. In this paper, we explore statistical techniques that can learn to iden- tify the gender …...

This paper describes a hybrid French - Roma- nian cognate identification module. This mod- ule is used by a lexical alignment system. Our cognate identification method uses lemma- tized, tagged …...