This paper presents a new algorithm for plan recognition using an action grammar formalism based on Combinatory Catagorial Grammar, that requires a significant shift in thinking about the problem of plan recognition. This approach makes significant use of the concepts of lexicalization and headedness from natural language parsing. It argues that lexicalization of action grammars can help plan r...

This paper presents the first probabilistic parsing results for French, using the recently released French Treebank. We start with an unlexicalized PCFG as a baseline model, which is enriched to the level of Collins’ Model 2 by adding lexicalization and subcategorization. The lexicalized sister-head model and a bigram model are also tested, to deal with the flatness of the French Treebank. The ...

Shifting to a lexicalized grammar reduces the number of parsing errors and improves application results. However, such an operation affects a syntactic parser in all its aspects. One of our research objectives is to design a realistic model for grammar lexicalization. We carried out experiments for which we used a grammar with very simple content and formalism, and a very informative syntactic ...

Lexicalization is a process of employing vocabulary for specific purposes. The great majority words refer to things and experiences in the outside world come under category lexical meaning, typically nouns, verbs, adjectives. This study seeks attempt contrast lexicalization two English Arabic prayers stylistically. adopts an eclectic model that integrates approaches, one them Keshavarz's five c...

Dil, insan ve çevre arasındaki etkileşimi sağlamakla birlikte aynı zamanda bu unsurlardan etkilenen konumdadır. Bir iletişim aracı olan dil, zamanın çevrenin getirdiği çeşitli etkilerle değişmek zorunda kaldığı gibi gelişmeye de devam etmektedir. Bu sebeple değişen şartlara göre kendi iç mekanizmasını kullanarak yeni sözcükler türetmek sınırlı sayıda malzeme ile bunu gerçekleştirir. Bunun için ...

The complementary learning systems account of declarative memory suggests two distinct memory networks, a fast-mapping, episodic system involving the hippocampus, and a slower semantic memory system distributed across the neocortex in which new information is gradually integrated with existing representations. In this study, we investigated the extent to which these two networks are involved in...

We introduce a simple method to build Lexicalized Hidden Markov Models (L-HMMs) for improving the precision of part-of-speech tagging. This technique enriches the contextual Language Model taking into account a set of selected words empirically obtained. The evaluation was conducted with different lexicalization criteria on the Penn Treebank corpus using the TnT tagger. This lexicalization obta...