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 ...

The present study sought to investigate the evidence for cross-linguistic transfer in a partial English immersion and non-immersion educational setting. To this end, a total of 145 first, third and fifth graders in a partial English immersion program and 95 students from the same grade levels in a non-immersion program were chosen. Six different English and Persian tests were administered: the ...

We propose a Bayesian generative model of how demographic social factors influence lexical choice. We apply the method to a corpus of geo-tagged Twitter messages originating from mobile phones, cross-referenced against U.S. Census demographic data. Our method discovers communities jointly defined by linguistic and demographic properties.

In this paper we present a cross-genre study on word order variation in Italian based on automatically dependency– parsed corpora. A comparative analysis focused on dependency direction and dependency distance for major constituents in the sentence is carried out in order to assess the influence of both textual genre and linguistic complexity on the distribution of phenonemena of syntactic mark...

We propose a Bayesian generative model of how demographic social factors influence lexical choice. We apply the method to a corpus of geo-tagged Twitter messages originating from mobile phones, cross-referenced against U.S. Census demographic data. Our method discovers communities jointly defined by linguistic and demographic properties.

Most studies of linguistic codeswitching (CS) focus on what language items can be switched and how such are intrasententially configurated at the surface sentence level. This study investigates CS a rather abstract level by adopting Bilingual Lemma Activation (BLA) Model (Wei, 2020). model claims that lemmas (i.e., entries in mental lexicon about lexemes) language-specific, language-specific co...

Sentence modelling is a fundamental topic in computational linguistics. Recently, deep learning-based sequential models of sentence, such as recurrent neural network, have proved to be effective in dealing with the non-sequential properties of human language. However, little is known about how a recurrent neural network captures linguistic knowledge. Here we propose to correlate the neuron acti...