This paper describes the Nara Institute of Science and Technology (NAIST) native language identification (NLI) system in the NLI 2013 Shared Task. We apply feature selection using a measure based on frequency for the closed track and try Capping and Sampling data methods for the open tracks. Our system ranked ninth in the closed track, third in open track 1 and fourth in open track 2.

We decribe the submissions made by the National Research Council Canada to the Native Language Identification (NLI) shared task. Our submissions rely on a Support Vector Machine classifier, various feature spaces using a variety of lexical, spelling, and syntactic features, and on a simple model combination strategy relying on a majority vote between classifiers. Somewhat surprisingly, a classi...

Native Language Identification, or NLI, is the task of automatically classifying the L1 of a writer based solely on his or her essay written in another language. This problem area has seen a spike in interest in recent years as it can have an impact on educational applications tailored towards non-native speakers of a language, as well as authorship profiling. While there has been a growing bod...

following a thorough survey of the available literature and concentrating on the wax and wane of testing pragmatic competence so far, the present study firstly is an attempt to develop a comprehensive test of inter-language pragmatics mainly focusing on academic situations in the iranian context. secondly, the study aims to investigate the criteria required for the selection of speech acts of a...

Following a thorough survey of the available literature and concentrating on the wax and wane of testing pragmatic competence so far, the present study firstly is an attempt to develop a comprehensive test of inter-language pragmatics mainly focusing on academic situations in the Iranian context. Secondly, the study aims to investigate the criteria required for the selection of speech acts of a...

The present study investigated how syllable structure differences between the first Language (L1) and the second language (L2) affect L2 consonant perception and production at syllable-initial and syllable-final positions. The participants were Mandarin-speaking college students who studied English as a second language. Monosyllabic English words were used in the perception test. Production was...

We present a study of Native Language Identification (NLI) using data from learners of Norwegian, a language not yet used for this task. NLI is the task of predicting a writer’s first language using only their writings in a learned language. We find that three feature types, function words, part-of-speech n-grams and a hybrid part-of-speech/function word mixture n-gram model are useful here. Ou...