In this paper we investigate a modality transfer in syntactic classification of an implicitly acquired grammatical sequence structure. Participants either practiced on acoustically presented syllable sequences or visually presented consonant letter sequences. During classification, statistical frequencybased and rule-based characteristics of the classification stimuli were manipulated in an ind...

We revisit Levin’s theory about the correspondence of verb meaning and syntax and infer semantic classes from a large syntactic classification of more than 600 German verbs taking clausal and non-finite arguments. Grasping the meaning components of Levin-classes is known to be hard. We address this challenge by setting up a multi-perspective semantic characterization of the inferred classes. To...

We propose a new probabilistic pattern formation algorithm for oblivious mobile robots that operate in the ASYNC model. Unlike previous work, our algorithm makes no assumptions about the local coordinate systems of robots (the robots do not share a common “North” nor a common “Right”), yet it preserves the ability to form any general pattern (and not just patterns that satisfy symmetricity pred...

The goal of this paper is a presentation of the possibilities of the application of syntactic methods to the recognition of the local stenoses of the lumen of coronary arteries, and to the detection of pathological signs in upper parts of ureter ducts and renal calyxes. An analysis of the correct morphology of these structures is possible thanks to the application of sequence and tree methods f...

The existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about the search result and rank pages according to that preference, the result will be more useful and accurate to the user. In the present paper a web page ranking algorithm is being proposed based on syntactic classific...

We implement a Korean syntactic analyzer which decreases many ambiguities in syntax parse trees using segmentation and semantic connection units. We use dependency grammar for parsing. Our syntactic analysis system generates all parse trees of a given sentence. So, the number of parse trees of syntactic analysis is many. To decrease the number of parse trees, we suggested semantic connection un...

This study aims at investigating the effect of dynamic assessment (DA) on L2 writing achievement if applied via blogging as a Web 2.0 tool, as well as examining which pattern of interaction is more conducive to learning in such an environment. The results of the study indicate that using weblogs to provide mediation contributes to the enhancement of the overall writing performance, vocabulary a...

In this paper a new algorithm is introduced for syntactic pattern recognition and string matching by using linked listdata structure which later could be used for hand written digits recognition. At first,handwritten digits are changed to string as input pattern by using chain-codethen the achieved string is recognized by using refer algorithm being implemented by linked list. This refer algori...

The syntactic pattern recognition model based on GDPLL(k) grammars has been proposed [6, 13] as an efficient tool for inference support in diagnostic and control expert systems. In this paper we discuss the software engineering aspect of the syntactic pattern recognition (sub)system. The architecture of the system should allow to embed the system in real-time environments, accumulate knowledge ...

Work in theoretical linguistics and psycholinguistics suggests that human linguistic knowledge forms a continuum between individual lexical items and abstract syntactic representations, with most linguistic representations falling between the two extremes and taking the form of lexical items stored together with the syntactic/semantic contexts in which they frequently occur. Neuroimaging eviden...