[PDF] Top 20 Ensemble Methods for Native Language Identification

... 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

... that ensemble methods, and voting in particular, provide small, but system- atic gains in predictive ...the ensemble is esti- mated, and in particular on what estimator of pre- dictive performance is ... See full document

... the identification of such issues can enable researchers to develop pedagogical material that takes into con- sideration a learner’s L1 and addresses ...classifier ensemble methods to further improve ... See full document

... different ensemble methods, in- cluding an oracle, to estimate the upper-limit of classification accuracy for Native Language Identification ...the ensemble votes, often being ... See full document

... Second Language Acquisition (SLA) investigate the multiplex of factors that influence our ability to acquire new languages and chief among these is the role of the learner’s mother ...of Native ... See full document

... a language model that improves the match be- tween the language model from that data source and the desired application ...in-domain language model compared to the cross- entropy of the text segment ... See full document

... that methods han- dling the text at character level can also be very effective in text analysis tasks (Lodhi et ...authorship identification (Sander- son and Guenter, 2006; Popescu and Dinu, 2007; Popescu ... See full document

... This paper presents an ensemble system combining the output of multiple SVM classifiers to native language identification (NLI). The system was submitted to the NLI Shared Task 2017 fusion ... 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

... created language model perplexity scores that reflected the lexical 5-grams most representative of each L1 in the ...the ensemble classifi- cation method they used. The ensemble method involved the ... See full document

... lingual NLI research (Malmasi and Dras, 2015b). However, following the practice of the first NLI shared task (Tetreault et al., 2013), this year’s task focuses on L2 English data (Malmasi et al., 2017). This can be ... See full document

... in Native Language Identifi- cation is intended to better unify this community and help the field ...the methods most participants used, the data they eval- uated their systems on, the three ... See full document

... On the ICLE-NLI corpus, our best ensemble model achieves an accuracy of 90.1% for a 7-way classification task. This is substantially higher than any previously reported results on the ICLE. Note that our ... 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 ... See full document

... dictionary-based methods like CMU which, under its pure imple- mentation, fails when a word (such as a proper name or misspelling) falls outside of its internal list, however ...dictionary methods like CMU ... See full document

... dialect identification, in which the goal is to discrimi- nate among similar languages, language varieties and ...cation methods are usually applied for this task, often with SVM ... 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 ... See full document

... Turning on both optimization and tuning (+opt, +all) yields the overall best results of Table 2, 79.64% for single-corpus and 39% for the cross-corpus setting. The corresponding entry in Table 3 shows that tuning ... See full document

... author’s native lan- guage can be viewed as a type of classification ...different methods are ...classification methods based on classical set of features. More specific methods are necessary ... See full document

... Second Language (TCSL) and the develop- ment of related resources such as learner corpora (Chen et ...scientific methods like NLI can greatly assist researchers in creating effective teaching practices and ... See full document