[PDF] Top 20 Simple Yet Powerful Native Language Identification on TOEFL11

... author’s native language, using character n-gram and part of speech n-gram as features (Blanchard et ...writer’s native language influences the target lan- guage they aim to ...Second ... See full document

... 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 ...a simple concatenation of all feature ... See full document

... Even though most NLI research has been car- ried out on English data, an important research trend in recent years has been the application of NLI methods to other languages, as discussed in Malmasi and Dras (2015). ... See full document

... of Native Language Identification ...the native language of authors of English texts written by non-native English speak- ...the language modeling approach and employs ... See full document

... all language-pairs compared to the best published results from table 2 and the majority ...Arabic language pairs; MSA-EGY, Gulf-MSA, and LEV-MSA are the most challenging ...the native Arabic speakers ... See full document

... the language groups repre- sented in the ICLE are not evenly balanced in terms of their levels of English ...the TOEFL11, which will be described in detail in Section ... See full document

... the native language of an author based on texts written in a second language has generally been tackled as a clas- sification problem, typically using as features a mix of n-grams over characters and ... See full document

... the TOEFL11 corpus used in the NLI2013 shared ...and language transfer ...how language is processed in the brain in ways that are not possible by just studying mono- linguals or single L1-L2 pairs, ... See full document

... We had expected to see more rules that displayed obvious ungrammaticality, such as VP → DT IN. However, both parsers appear to be good at ‘ig- noring’ errors, and producing relatively grammati- cal structures (albeit ... See full document

... a simple strat- egy in which each base model contributes a vote towards a category, and final prediction goes to the category with the most ...a simple early fusion model in the FUSION track ... See full document

... the TOEFL11 vs TOEFL11-Big corpora (11 ...the language model ...on TOEFL11 shows that the large amount of training data available in the TOEFL11-Big corpus leads to similar performance ... See full document

... Despite the fact that the approach based on string kernels performed so well, it remains to be further investigated why this is the case and why such a simple approach can compete with far more complex approaches ... See full document

... periments, though the difference between them does not seem very high in the test dataset, there is a dif- ference of more than 5% in the development dataset. In the test dataset, the second experiment has the best ... See full document

... 2017 Native Language Identification shared ...on simple word and sub-word units avoiding heavy use of hand-crafted ...our simple proposed approaches with modifi- cations of the ... See full document

... In addition to applications in forensic linguis- tics, Arabic NLI can aid the development of re- search tools for SLA researchers investigating lan- guage transfer and cross-linguistic effects. Simi- lar data-driven ... See full document

... The staff of the BMC therefore deserves our con- gratulations for their determination to improve care provided for breastfeeding mothers and infants. In doing so, the hospital has reduced inequalities in health, broken ... See full document

... The first set of experiments was carried out on the first set of data released by the organizers: TOEFL essays written by 11 native languages speakers. 9,900 essays of this set were sequestered as the training ... See full document

... Native Language Identification (NLI) is the task of inferring the native language (L1) of an author based on texts written in a second language ...identify language use ... See full document

... Such analyses can help us better understand the linguistic properties of features and guide interpre- tation of the results. This knowledge can also be useful in creating classifier ensembles. One goal in creating such ... See full document

... Evidently, all feature sets outperform the base- line, although some are far better than others. The feature that yields the best accuracy is Subreddits, with 87% accuracy on the binary task, 82% on the language ... See full document