We show the perception of Canadian French (CF) vowels by Canadian English (CE) listeners and test a cue-weighting hypothesis to explain the attested assimilation patterns. Five CF vowels, /i, y, u, , æ/, and three allophonic variants, [, , ], were examined. The listeners completed a native-language identification task with goodness of fit judgments. We found that most French vowels were ide...

We show the perception of Canadian French (CF) vowels by Canadian English (CE) listeners and test a cue-weighting hypothesis to explain the attested assimilation patterns. Five CF vowels, /i, y, u, , æ/, and three allophonic variants, [, , ], were examined. The listeners completed a native-language identification task with goodness of fit judgments. We found that most French vowels were ide...

The main results: A ring R is CN if and only if for any x ∈ N(R) and y ∈ R, ((1+x)y)n+k = (1+x)n+kyn+k, where n is a fixed positive integer and k = 0, 1, 2; (2) Let R be a CN ring and n ≥ 1. If for any x, y ∈ R\N(R), (xy)n+k = xn+kyn+k, where k = 0, 1, 2, then R is commutative; (3) Let R be a ring and n ≥ 1. If for any x ∈ R\N(R) and y ∈ R, (xy)k = xkyk, k = n, n + 1, n + 2, then R is commutati...

introduction: aphasia is a language disorder resulting from a lesion in the cerebral cortex. in this case report, we present a polyglot patient who recovered from aphasia by speaking his newly active learned language case report: a 69 years old male referred with acute onset right hemiparesis and global aphasia. after imaging, he treated with 75 mg r-tpa (0.9 mg/kg). after the fourth day of hos...

This paper reports on our work in the NLI shared task 2013 on Native Language Identification. The task is to automatically detect the native language of the TOEFL essays authors in a set of given test documents in English. The task was solved by a system that used the PPM compression algorithm based on an n-gram statistical model. We submitted four runs; word-based PPMC algorithm with normaliza...

A fundamental question in language learning concerns the role of a speaker’s first language in second language acquisition. We present a novel methodology for studying this question: analysis of eye-movement patterns in second language reading of free-form text. Using this methodology, we demonstrate for the first time that the native language of English learners can be predicted from their gaz...

Considerable attention has been paid in recent years to the subject of Natural Language Interfaces (NLI, see [4] for a survey on current trends in such technology). Starting with NL access to databases, NLI technology has evolved according to the needs of the different sectors involved. This evolution has followed several lines, improving both the quality and the capabilities of the interface f...

We apply Support Vector Machines to differentiate between 11 native languages in the 2013 Native Language Identification Shared Task. We expand a set of common language identification features to include cognate interference and spelling mistakes. Our best results are obtained with a classifier which includes both the cognate and the misspelling features, as well as word unigrams, word bigrams,...

Natural language inference (NLI) is a central problem in language understanding. End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently. In this paper, we propose Characterlevel Intra Attention Network (CIAN) for the NLI task. In our model, we use the character-level convolutional network to replace the standard word embedding layer, and we use the...

In this paper, we describe our approach to native language identification and discuss the results we submitted as participants to the First NLI Shared Task. By resorting to a wide set of general–purpose features qualifying the lexical and grammatical structure of a text, rather than to ad hoc features specifically selected for the NLI task, we achieved encouraging results, which show that the p...