abstract this study investigated the validity of processability theory proposed by pienemann (1998/2015) among iranian efl learners’ oral performance. the theory defines six procedural stages for learners in the process of second language acquisition. in order to conduct the study, 10 intermediate efl learners were selected based on their performance on oxford placement test. then, they partici...

Behavioral experiments and a connectionist model were used to explore the use of featural representations in the computation of word meaning. The research focused on the role of correlations among features, and differences between speeded and untimed tasks with respect to the use of featural information. The results indicate that featural representations are used in the initial computation of w...

This paper compares various class-based language models when used in conjunction with a word-based trigram language model by means of linear interpolation. For class-based language models where classes are automatically derived we present a comparative analysis in five languages (French, British English, German, Italian, and Spanish). With regard to classes corresponding to parts-of-speech, we ...

English linguist John Rupert Firth has a famous saying “you shall know a word by the company it keeps.” Most word representation learning models are based on this assumption that a word’s semantic meaning can be learned from the context in which it resides. The context is defined as a small unordered number of words surrounding the target word. Research has shown that context alone provides lim...

Word embeddings have been demonstrated to benefit NLP tasks impressively. Yet, there is room for improvement in the vector representations, because current word embeddings typically contain unnecessary information, i.e., noise. We propose two novel models to improve word embeddings by unsupervised learning, in order to yield word denoising embeddings. The word denoising embeddings are obtained ...

In this paper, we propose a novel technique focusing on robust speech recognition and introduce a hardware based new speech recognition system. The realization of the proposed method is quite difficult in case of software processing since high computational cost is required for noise robust. In order to overcome the shortage, we adopt the scalable architecture focused on the word HMM structure....

Behavioral experiments and a connectionist model were used to explore the use of featural representations in the computation of word meaning. The research focused on the role of correlations among features, and differences between speeded and untimed tasks with respect to the use of featural information. The results indicate that featural representations are used in the initial computation of w...