Arabic language is very rich in derivations, vocabulary, and grammatical structures. The problem of determining the correct meaning of a word in a non-vowelized Arabic sentence is not a trivial task since Arabic is very rich in the polysemy phenomena. This paper attempts to reveal the word sense ambiguity, by building a semantic parser powered by a statistical semantic analyzer, which may aid i...

This study tries to discover new correlation patterns between word-of-mouth generation and other media effects through a computer simulation model by artificial neural network. First, authors conducted an empirical consumer survey in Japan regarding purchase behaviors of compact automotives, an example of typical consumption behaviors. Authors focused on each consumer’s media contact including ...

The most difficult task in machine translation is the elimination of ambiguity in human languages. A certain word in English as well as Vietnamese often has different meanings which depend on their syntactical position in the sentence and the actual context. In order to solve this ambiguation, formerly, people used to resort to many hand-coded rules. Nevertheless, manually building these rules ...

This paper aims at describing the building of the online corpora on Philippine languages as part of the online repository system called Palito. There are five components of the corpora: the top four major Philippine languages which are Tagalog, Cebuano, Ilocano and Hiligaynon and the Filipino Sign Language (FSL). The four languages are composed of 250,000-word written texts each, whereas the FS...

The present paper aims at the analysis of lexical innovations in sphere journalism. For achieving them a set procedures were fulfilled to show peculiarities journalism and number methods used. descriptive method helped analyze selected words word combinations, component proved valuable regard semantic structure or vocabulary. Word building classification was helpful defining predominant kind fo...

This is a longitudinal case study of two Farsi-speaking children learning English: ‘Bernard’ and ‘Melissa’, who were 7;4 and 8;4 at the start of data collection. The research deals with the initial state and further development in the child second language (L2) acquisition of syntax regarding the presence or absence of copula as a functional category, as well as the role and degree of L1 influe...

In this paper, we propose a simple yet efective approach to automatically building sentiment lexicons from English sentiment lexicons using publicly available online machine translation services. The method does not rely on any semantic resources or bilingual dictionaries, and can be applied to many languages. We propose to overcome the low coverage problem through putting each English sentimen...

This paper investigates the cutting-edge techniques for word embedding, sense embedding, and our evaluation results on large-scale datasets. Word embedding refers to a kind of methods that learn a distributed dense vector for each word in a vocabulary. Traditional word embedding methods first obtain the co-occurrence matrix then perform dimension reduction with PCA. Recent methods use neural la...

conclusions the findings of this study indicate that the frequency of disfluencies was increased in difficult syllable structures in comparison to simple syllable structures. according to the results, it seems that certain linguistic features, such as syllable structure can affect speech-motor output in people who stutter through affecting phonological encoding. background stuttering is one of ...