The purpose of this research is to compare the performance of two text classifiers; support vector machine (SVM) and back-propagation neural network (BPNN) within categorize messages from an online discussion. SVM has been recognized as one of the best algorithm for text categorization. BPNN is also a popular categorization method that can handle linear and non linear problems and can achieve g...

In this paper, we describe a system to rank suspected answers to natural language questions. We process both corpus and query using a new technique, predictive annotation, which augments phrases in texts with labels anticipating their being targets of certain kinds of questions. Given a natural language question, our IR system returns a set of matching passages, which we then rank using a linea...

Due to the special (procedural) nature of the language (verbal communication) ‘knowledge’, the dominant trends in applied linguistics research in the last few decades have been advocating ‘acquisition’ rather than ‘learning’ activities where the main focus in SL & FL education should be on ‘meaning’ while some ‘focus-on-form’ being justified. But the ‘form’ to be ‘focused-on’ is mostly misconce...

Forecast targeting,” forward-looking monetary policy that uses central-bank judgment to construct optimal policy projections of the target variables and the instrument rate, may perform substantially better than monetary policy that disregards judgment and follows a given instrument rule. This is demonstrated in a few examples for two empirical models of the U.S. economy, one forward looking an...

During early language acquisition, infants must learn both a lexicon and a model of phonetics that explains how lexical items can vary in pronunciation—for instance “the” might be realized as [Di] or [D@]. Previous models of acquisition have generally tackled these problems in isolation, yet behavioral evidence suggests infants acquire lexical and phonetic knowledge simultaneously. We present a...

Usability questionnaires usually contain scales related to effectiveness, efficiency and overall satisfaction which provide a quantitative value for the user’s opinion. However, analyzing quantitative data often does not show the reason underlying for a good or bad opinion. Simple questions like “What did you like about the system?” and “What did you not like about the system?” can shade light ...

2 SUMMARY Programs are not read sequentially like a book but rather selectively like an encyclopedia. Instead of linear text we therefore suggest non-linear active text as a medium for structuring and browsing source code. While common program editors are mainly character based we believe that non-textual information such as pictures, links, folds, and annotations can improve the readability of...

The analysis of two heuristic supervised learning algorithms for text categorization in two dimensions is presented here. The graphical properties of the bidimensional representation allows one to tailor a geometrical heuristic approach in order to exploit the peculiar distribution of text documents. In particular, we want to investigate the theoretical linear cost of the algorithms and try to ...

The split feasibility problem (SFP) is finding a point [Formula: see text] such that [Formula: see text], where C and Q are nonempty closed convex subsets of Hilbert spaces [Formula: see text] and [Formula: see text], and [Formula: see text] is a bounded linear operator. Byrne's CQ algorithm is an effective algorithm to solve the SFP, but it needs to compute [Formula: see text], and sometimes [...