We present a method for incorporating arbitrary context-informed word attributes into statistical machine translation by clustering attribute-quali ed source words, and smoothing their word translation probabilities using binary decision trees. We describe two ways in which the decision trees are used in machine translation: by using the attribute-quali ed source word clusters directly, or by u...

Clustering words is a widely used technique in statistical natural language processing. It requires syntactic, semantic, and contextual features. Especially, semantic clustering is gaining a lot of interest. It consists in grouping a set of words expressing the same idea or sharing the same semantic properties. In this paper, we present a new method to integrate semantic classes in a Statistica...

In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer inflected forms (Kirchhoff et al., 2006). This exacerbates the out-of-vocabulary (OOV) problem. Test set words are more likely to be unknown, limiting the effectiveness of the model. The goal of this study is to use t...

Extracting word roots in Arabic language is very problematic due to the specific morphological and structural changes in the language. To address this problem, several techniques have been proposed. This paper continues the problem of identifying and exploiting relationship amongst Arabic letters for Arabic root extraction begun in [1]. Eight different rules that detect the root letters accordi...

Nowadays, many daily human activities such as education, trade, talks, etc are done by using the Internet. In such things as registration on Internet web sites, hackers write programs to make automatic false registration that waste the resources of the web sites while it may also stop it from functioning. Therefore, human users should be distinguished from computer programs. To this end, this p...

Our earlier work, on incongruent audiovisual segments embedded in English wordand phrasestimuli, showed that McGurk fusion is sensitive to the phonological context of a segment. In this paper we describe the preparation and early testing of Arabic word stimuli with an incongruent phonetic segment. We confirm that in the context of Arabic words, fusion similar to that in English words still occu...