[PDF] Top 20 CIC FBK Approach to Native Language Identification

... problematic language pair, in which Korean native speakers are often classified as ...two language pairs in isola- tion in order to improve the overall system perfor- ... See full document

... ding approach that considers descriptive statis- tics such as the distribution skewness and kurto- sis (Gini indexes) as well as the moment informa- tion to represent the documents of the three differ- ent classes ... See full document

... The motivations for NLI are manifold. Such techniques can help SLA researchers identify important L1-specific learning and teaching issues. In turn, the identification of such issues can enable researchers to ... See full document

... One possible approach to estimating an upper-bound for classification accuracy, and one that we employ here, is the use of an “Oracle” classifier. This method has previously been used to analyze the limits of ... See full document

... Our approach to quantifying the diver- sity between two feature types is based on measuring the level of agreement between the two for predict- ing labels on the same set of ... See full document

... the native lan- guage (L1) of a writer based solely on a sample of their writing in a second language ...tive Language Identification (NLI) is an attempt to exploit these errors in order to ... See full document

... Dialect Identification In the last few years, we observed a significant and important overlap between NLI approaches and computational methods applied to dialect, lan- guage variety, and similar language ... See full document

... We excluded from our system individual features that did not perform well in our experiments. It would be helpful to evaluate the influence of these less accurate features and determine whether they would be useful to ... See full document

... graph-based approach, where each node and edge were represented by the corre- sponding part-of-speech (POS) tag, then the repre- sentation was enriched with semantic information, emoticons, and with emotion ... See full document

... Table 8 reports the performances of the stan- dalone sentence classifier on the L1 sentence clas- sification task. For each dataset we report a base- line result calculated by using only word unigrams features. We have ... See full document

... latter approach appears to be better in identifying ...maxent approach results in much fewer misclassifications compared to its ...the language modeling approach to only eight topics (seven ... See full document

... The organizers provided an already strong base- line at 72% F1 over essays. As we can see in Table 1, our BPE based systems and NN system were only able to be on par with the baseline, with the Naive Bayes using BPE ... See full document

... The first Shared Task in Native Language Identifi- cation is intended to better unify this community and help the field progress. The Shared Task addresses the two deficiencies above by first using a new ... See full document

... of Native Language Identification (NLI), which is the task of automatically identifying a speaker’s first language based solely on the speaker’s writing in another ...applications. ... See full document

... tive Language Identification (Tetreault et ...simple approach where each model in the ensemble casts a vote towards a class, votes are tallied and prediction goes to the most voted ... See full document

... learning approach to deter- mine which ones characterise non-native speaker er- ...tive language relative to, and in combination with, lexical ... See full document

... Foreign Language (TOEFL) between 2006-2007 (Blanchard et ...11 native language (L1) groups, includes responses to eight different inde- pendent-task prompts, and includes essays written by low, ... See full document

... common approach in text mining tasks such as text categorization, authorship identification or plagiarism detection is to rely on features like words, part-of-speech tags, stems, or some other high-level ... 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

... prototype approach to be able to better deal with the commonalities and differences among languages than the 1va, which lumps diverse languages into a single ‘other’ ... See full document