[PDF] Top 20 Norwegian Native Language Identification
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Norwegian Native Language Identification
... learner language are systematically different from those assumed for the standard variety of the lan- guage and that this interlanguage cannot be con- sidered a noisy variant of the native ...learner ... See full document
9
Experimental Results on the Native Language Identification Shared Task
... the native language of an ...non- native English speakers from five countries, Russia, Czech Republic, Bulgaria, France and Spain, with 258 instances from each ...on language transfer, i.e. ... See full document
7
The Power of Character N grams in Native Language Identification
... Due to the success of the character n-gram mod- els in capturing morphological details, we tested a feature that transcribed every essay into its pho- netic representation. Even though we knew this would largely ... See full document
8
A Report on the First Native Language Identification Shared Task
... Native Language Identification, or NLI, is the task of automatically classifying the L1 of a writer based solely on his or her essay writ- ten in another ...a language, as well as authorship ... See full document
10
Feature Space Selection and Combination for Native Language Identification
... Part-of-speech ngrams: The texts were tagged with the Stanford tagger v. 3.0 2 using the largest and best (bidirectional) model. Note that the lan- guage in a couple of documents was so poor that the tagger was unable to ... See full document
5
Neural Networks and Spelling Features for Native Language Identification
... In isolation, the ResNet system yields a relatively high F1 score of 80.16. This indicates that, al- though simpler methods yield better results for this task, deep neural networks are also applica- ble. However, further ... See full document
5
Native Tongues, Lost and Found: Resources and Empirical Evaluations in Native Language Identification
... There has been a great deal of work on NLI in recent years. The methods employed have ranged from some combination of lexical, part-of-speech and n-gram features (Koppel et al., 2005), to syntactic features (Wong and ... See full document
17
Maximizing Classification Accuracy in Native Language Identification
... As noted by Bestgen et al. (2012), Jarvis and Paquot (2012), and Tetreault et al. (2012), there are certain disadvantages to using the ICLE for NLI research. One problem made especially clear by Bestgen et al. is that ... See full document
8
Native Language Identification With Classifier Stacking and Ensembles
... using language models for this task and in their system used language model perplexity scores based on lexical 5-grams from each language in the ... See full document
45
A Report on the 2017 Native Language Identification Shared Task
... Native Language Identification (NLI) is the task of automatically identifying the native language (L1) of an individual based on their language production in a learned ... See full document
14
Simple Yet Powerful Native Language Identification on TOEFL11
... the native language of a writer (Bykh and Meurers, ...non- native English writers with the same native lan- guages tend to choose more similar words to ex- press the same or similar ... See full document
5
Learning with learner corpora: Using the TLE for native language identification
... Similar to most other NLI systems, in this paper, the task of native language identification is ap- proached as a text classification problem. In order to solve this classification problem, ... See full document
7
Cross corpus Native Language Identification via Statistical Embedding
... TOEFL for evaluation, and vice versa. They trained a linear-SVM with several features such as function word unigrams and bigrams, pro- duction rules and part-of-speech unigrams, bi- grams and trigrams, and the ... See full document
5
Large Scale Native Language Identification with Cross Corpus Evaluation
... large-scale Native Language Identification (NLI) experiment on new data, with a focus on cross-corpus evaluation to identify corpus- and genre-independent lan- guage transfer ...able language ... See full document
7
A study of N gram and Embedding Representations for Native Language Identification
... This corpus was used in the first Native Lan- guage Identification shared task (Tetreault et al., 2013). 29 teams participating in the task, and wide range of lexical and syntactic feature representa- tions ... See full document
9
Fewer features perform well at Native Language Identification task
... This paper describes our results at the NLI shared task 2017. We participated in es- says, speech, and fusion task that uses text, speech, and i-vectors for the task of iden- tifying the native language of ... See full document
6
From Language to Family and Back: Native Language and Language Family Identification from English Text
... L1 identification is improved by up to ...the language family, thus providing a smaller set of language classes in which the actual language is more likely to be ... See full document
8
Anglicized Words and Misspelled Cognates in Native Language Identification
... In this paper, we analyze in parallel three of the phenomena responsible for the incorrect ex- pansion of L2’s vocabulary using L1 material: misspelled cognates, L2-ed words, and all other spelling errors. Misspelled ... See full document
10
Improving Native Language Identification with TF IDF Weighting
... a Native Language Iden- tification (NLI) system based on TF-IDF weighting schemes and using linear classi- fiers - support vector machines, logistic re- gressions and ... See full document
8
Improving Native Language Identification by Using Spelling Errors
... have a visible impact. In Italian, for example, each vowel has only one pronunciation, so it is very common for Italian writers to confuse the use of vowels in English: the English e can correspond to the sounds written ... See full document
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