this study was intended first to categorize the l2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

Finite-state cascades represent an attractive architecture for parsing unrestricted text. Deterministic parsers speciied by nite-state cascades are fast and reliable. They can be extended at modest cost to construct parse trees with nite feature structures. Finally, such deterministic parsers do not necessarily involve trading oo accuracy against speed| they may in fact be more accurate than ex...

It is highly desirable that users of systems which include NLP-based components, ranging from grmnmar-checkers to MT systems, can access the underlying Linguistic Knowledge Base in a natural and gratifying way. Our research aims at developing such Linguistic Discovery Assistants by merging hyperdocumcnts, Data Base Management Systems and interpretive adaptive interfaces. We have followed a step...

Computational models of learning provide an alternative technique for identifying the number and type of chunks used by a subject in a specific task. Results from applying CHREST to chess expertise support the theoretical framework of Cowan and a limit in visual short-term memory capacity of 3-4 items. An application to learning from diagrams illustrates different identifiable forms of chunk. C...

When a file is to be transmitted from a sender to a recipient and when the latter already has a file somewhat similar to it, remote differential compression seeks to determine the similarities interactively so as to transmit only the part of the new file not already in the recipient’s old file. Content-dependent chunking means that the sender and recipient chop their files into chunks, with the...

File-sharing networks are distributed systems used to disseminate files among a subset of the nodes of the Internet. A file is split into several pieces called chunks, the general simple principle is that once a node of the system has retrieved a chunk, it may become a server for this chunk. A stochastic model is considered for arrival times and durations of time to download chunks. One investi...

Data Deduplication is an important technique which provides better result to store more information with less space. Cost and maintenance of Information backup storage system for major enterprises can be minimized by storing it on Cloud Storage. Data redundancy between different kinds of data storage gets minimal by utilizing data deduplication method. By giving each application differently and...

P2P mesh-pull live video streaming applications – such as CoolStreaming, PPLive, and PPStream – have become popular in the recent years. In this paper, we examine the stream pollution attack, for which the attacker mixes polluted chunks into the P2P distribution, degrading the quality of the rendered media at the receivers. Polluted chunks received by an unsuspecting peer not only effect that s...

This study was intended first to categorize the L2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. Moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

Interpretable semantic textual similarity (iSTS) task adds a crucial explanatory layer to pairwise sentence similarity. We address various components of this task: chunk level semantic alignment along with assignment of similarity type and score for aligned chunks with a novel system presented in this paper. We propose an algorithm, iMATCH, for the alignment of multiple non-contiguous chunks ba...