[PDF] Top 20 A Portuguese Native Language Identification Dataset

... aforementioned Portuguese learner corpora contain very useful data for research, particularly for Native Language Identification (NLI), a task that has received much attention in recent ...the ... See full document

... Spelling errors have been used as features for NLI since Koppel et al. (2005). They considered syntax errors and eight types of spelling errors such as repeated letters, missing letters, and inver- sion of letters. The ... See full document

... ICLE (Granger et al., 2009): the ICLEv2 dataset consists of essays written by highly- proficient non-native college-level students of En- glish. We used a 7-language subset of the cor- pus normalized ... See full document

... To provide some additional complementarity in the final ensemble, a Naive Bayes model was trained on the same features. Despite its simplic- ity, the model became competitive after introduc- ing the n-gram features. ... See full document

... standardized dataset and eval- uation metric allowed for the effective compar- ison of different models, and the results con- firmed the usefulness of SVMs for NLI (Tetreault et ... See full document

... The dataset used for the shared task is called TOEFL11 (Blanchard et ...Foreign Language (TOEFL). The essays are written by 11 native lan- guage speakers ...glish language proficiency level ... See full document

... tive language of an ESL (English as a Second Lan- guage) writer based on a sample essay, although NLI has also been shown to work on other lan- guages (Malmasi and Dras, ...2013 Native Language Iden- ... See full document

... The dataset used in the NLI Shared Task 2017 is composed of English essays written by non-native learners in a standardized assessment of English proficiency for academic ... See full document

... a dataset contain- ing essays and spoken responses in form of tran- scriptions and acoustic features (iVectors) by non- native English speakers of eleven native languages taking a standardized ... See full document

... The performance of our three submissions on the test set is shown in Table 2. The first out- come is that the single model based on raw text character 6-grams performs very significantly above the organizer-provided ... See full document

... of native language identi- fication in the context of user generated content (UGC) in online ...this dataset, we de- fine three closely-related tasks: (i) distinguishing between native and ... See full document

... TOEFL11 dataset (Blanchard et ...The dataset con- tains essays written in English from native speakers of 11 languages (Arabic, Chinese, French, German, Hindi, Italian, Japanese, Korean, Spanish, ... See full document

... the dataset play some role, though the most obvious improvement came from the use of our bias adaptation technique, which uses a small amount of data from a test corpus to improve the model; this was particularly ... See full document

... resourced language in what concerns foreign language ...Spanish native speakers learning Portuguese, we developed an approach to automatically generate a lexicon of wrong words, reproducing ... See full document

... that dataset using the English CoreNLP models, Penn Treebank PoS tagset and a set of 400 English func- tion ...and language transfer ...how language is processed in the brain in ways that are not ... 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 majority ... See full document

... unbalanced nature of the dataset a weighted average approach was calculated for each metric. We use support vector machines as our classifier and experimented with various SVM kernels to find the optimal ... See full document

... for native language attribution is introduced by Kop- pel et ...a dataset of au- thors of five different native languages taken from ICLEv1 (Granger et ... See full document

... 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

... In our study of the effect of training on one corpus and testing on another, we carry out experiments on pairs of corpora that consist of the same sets of languages. We evaluate first on the ICLE-NLI vs TOEFL7 corpora (7 ... See full document