[PDF] Top 20 Linguistic Profiling based on General–purpose Features and Native Language Identification

... distinguished, based on the fact that ei- ther the coarse grained PoS or the word–forms of the nodes in the dependency subtree are ...depth features: this set of features is meant to capture ... See full document

... complex features ([s/c, +bvm]): To validate our assumption regarding the role of surface properties, we tried a combined setup, where the [s/c] setting was used in combination with the binary verb lemma model ... See full document

... of Native Language Identification (NLI) to Arabic learner ...first language from their writing in other languages has been mostly investigated with English data, but is now expanding to other ... See full document

... In general most approaches to NLI have used multi-way classification with SVMs or similar models along with a range of linguistic ...best-performing features: char- acter, word and part-of-speech ... See full document

... tagset features generalizes the information and loses the discriminating features that the fine grained PTB POS tagset features ...the native languages than using a coarse grained POS tagset ... See full document

... two features (sbj, gave, obj, obj) and (nmod, nmod, ...plexity features from Vajjala and Meurers (2012), who used measures of learner language complex- ity from SLA research for readability ...These ... See full document

... Detection of the English text author’s native lan- guage can be viewed as a type of classification task. Such tasks are solved using learning methods. There are different types of text classification. Au- thorship ... See full document

... Native language identification (NLI) is the task of determining an author’s native language (L1) based on their writings in a second language ...particular language ... See full document

... Sufficiently frequent tokens, i.e. those that were observed to occur with a certain frequency in some language reference corpus, are used as features by themselves. In the present case these are ítems that ... See full document

... linguistics, native language identification has been reasonably well-addressed (Koppel et ...to native language identification, however, is a clear interaction between native ... See full document

... • Grammatical error detection and correction: as discussed in Zampieri and Tan (2014), a known challenge in this task is acquiring suit- able training data to account for the vari- ation of errors present in ... See full document

... emoP features, significantly contribute to the results for all the considered set- tings, indicating that different cultures (as defined by the authors’ L1) have different emotion word ...very general, the ... See full document

... different features are shown in Table 1. For these experiments, features were represented by their frequency ...a general trend within different feature types: F1 scores increase as n-gram order ... See full document

... Identification of Non Linguistic Speech Features Identification of Non Linguistic Speech Features Jean Luc Gauvain and Lori F L a m e l L I M S I C N R S , B P 133 9 1 4 0 3 O r s a y c e d e x , F R[.] ... See full document

... Native Language Identification can be used in educational ...to language learners about their ...the native language can be used as a feature for authorship analysis (Sta- ... See full document

... of features and classifiers, what is the maximal performance that could be achieved by an NLI system that always picks the best candidate? This question, not previously addressed in the context of NLI to date, is ... See full document

... of Native Language Identification (NLI) is typically solved with machine learn- ing methods, and systems make use of a wide variety of ...individual features, however, no sys- tematic study of ... See full document

... foreign language learning: mistake and ...recognized language, which is followed by certain rules of ...maritime language number one, not because of its linguistic qualities, but of the ... See full document

... PROPOSED ALGORITHM A program using for, while and do-while loop is implemented in C, Java, C# and D language to calculate how much time is required for execution using the below algorith[r] ... See full document

... informative features for French, for example, we find developp from the French d´evelopp´e which leads to a misspelling of the En- glish word ...of features that indicate ...for native speakers of ... See full document