This study demonstrates how knowledge of language transfer can enable a computer-assisted pronunciation teaching (CAPT) system to effectively detect and diagnose salient mispronunciations in second language learners’ speech. Our approach uses a HMM-based speech recognizer with an extended pronunciation lexicon that includes both a model pronunciation for each word and common pronunciation varia...

The theory of mother tongue transfer refers to that the habit of the first language will directly influence the acquisition of the second language, and play its positive and negative functions. As a Chinese learner, English vocabulary learning is inevitably influenced by the Chinese ways of pronunciation, cognitive styles and thought patterns. Based on the language transfer theory, this paper w...

The paper focuses on the role of features for the implementation of the transfer-based machine translation systems. The semantic content of syntactic structures is established via the contrastive study of the English and Russian language systems and parallel texts analysis. The notion of cognitive transfer is employed which means that a language unit or structure can be singled out for transfer...

Although hyperlinks enhance the utility of Wikipedia, embedding them in articles imposes a burden on contributors. To alleviate this burden as well as enrich hyperlinks in Wikipedia articles, we propose a method for transferring intra-language links between different-language articles linked via an interlanguage link. The method avoids anchor selection and disambiguation problems by which usual...

In this paper, we study direct transfer methods for multilingual named entity recognition. Specifically, we extend the method recently proposed by Täckström et al. (2012), which is based on cross-lingual word cluster features. First, we show that by using multiple source languages, combined with self-training for target language adaptation, we can achieve significant improvements compared to us...

We present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the art for the monolingual task. We use labeled data from a high-resource language to increase performance on a lowresource language. In experiments on 21 language pairs from four different language families, we obtain ...