In this paper we present a novel approach for the recognition of offline Arabic handwritten text that is motivated by the Arabic letters’ conditional joining rules. A lexicon of Arabic words can be expressed in terms of a new alphabet of PAWs (Part of Arabic Word). PAWs can be expressed in terms of letters. The recognition problem is decomposed into two problems that are solved simultaneously. ...

Abstract: In testing Discrete Event System, an important topic is determining the final state of the machine after the application of a test. Synchronizing and homing sequences have been proposed in the sixties to solve the problem using Mealy machines. A synchronizing sequence drives an implementation of a given model, seen as a black box, to a known state regardless of its initial state and t...

Readers and listeners rely upon previous experience to generate predictions about multiple aspects of an unfolding linguistic signal. Error signals elicited by unexpected input feed forward to higher-level units, serving in the adjustment of expectancies and thus increasing the precision of predictions in that context. When a syntactic ambiguity is resolved with a dis-preferred continuation, a ...

In this paper we describe a person clustering system for a given document set and report the results we have obtained on the test set of Chinese personal name (CPN) disambiguation task of CIPSSIGHAN 2010. This task consists of clustering a set of Xinhua news documents that mention an ambiguous CPN according to named entity in reality. Several features including named entities (NE) and common no...

The d e f i n i t i o n t e x t s of a m a c h i n e r e a d a b l e pocket d i c t i o n a r y were ana lyzed to d e t e r m i n e the d i s a m b i g u a t e d word sense of the k e r n e l terms of each word sense be ing d e f i n e d . The r e s u l t a n t s e t s of word p a i r s of d e f i n e d and d e f i n i n g words were then computaCiona l ly connected i n t o t~o taxonomic semil ...

This paper presents compact regions to synthesize a Petri net from a partial language. We synthesize a Petri net using the theory of regions. Let there be a partial language, every region definition provides an inequality system and a solution of this system is called a region. Every region defines a valid place where a place is valid if it enables every word of the partial language. The new co...

We describe our work on incorporating probabilities of phone durations, learned by a neural net, into an ASR system. Phone durations are incorporated via lattice rescoring. The input features are derived from the phone identities of a context window of phones, plus the durations of preceding phones within that window. Unlike some previous work, our network outputs the probability of different d...

Following up on numerous reports of analogybased identification of “linguistic regularities” in word embeddings, this study applies the widely used vector offset method to 4 types of linguistic relations: inflectional and derivational morphology, and lexicographic and encyclopedic semantics. We present a balanced test set with 99,200 questions in 40 categories, and we systematically examine how...

This paper describes the details of our system submitted to the SemEval-2013 shared task on sentiment analysis in Twitter. Our approach to predicting the sentiment of Tweets and SMS is based on supervised machine learning techniques and task-specific feature engineering. We used a linear classifier trained by stochastic gradient descent with hinge loss and elastic net regularization to make our...

This paper presents a method of optimization, based on both Bayesian Analysis technical and Galois Lattice of Fuzzy Semantic Network. The technical System we use learns by interpreting an unknown word using the links created between this new word and known words. The main link is provided by the context of the query. When novice’s query is confused with an unknown verb (goal) applied to a known...