[PDF] Top 20 Native Language Identification with PPM

... This task is mostly solved by machine-learning algorithms, such as SVM (Witten and Frank, 2005). However, the algorithm itself is not the most influential choice for better performance but rather the set of features used ... See full document

... We present the CIC-FBK system, which took part in the Native Language Iden- tification (NLI) Shared Task 2017. Our approach combines features commonly used in previous NLI research, i.e., word n-grams, ... See full document

... tive Language Identification (Tetreault et al., 2013; Malmasi and Dras, 2017) and many other NLP tasks (Goutte et al., 2014). Among many alter- natives, we focus on voting, a conceptually and practically ... See full document

... than, and that do not require the manual construction of, the above approach. Taking the trees produced by statistical parsers, we use tree cross-sections as features in a machine learning approach to deter- mine which ... See full document

... same language tend to inter- act more with each other (than with speakers of other ...that native speakers’ posts tend to be more spontaneous, coherent and clear, thereby drawing more ... See full document

... the native language-specific topic (i.e. characteristic of the native language) and the other is the generic topic ...second language — English in our ...a language- specific ... See full document

... General Background. Determining the identity of, or properties of, an author of a text is a problem of longstanding interest, and attempts to solve it are similarly longstand- ing (Koppel, Schler, and Argamon 2009). NLI ... See full document

... any of the previous NLI studies that had examined the same number (Bykh and Meurers, 2012) or even a smaller number of L1s in the ICLE (e.g., Koppel et al., 2005, Tsur and Rappoport, 2007; Bestgen et al., 2012). The only ... See full document

... Native Language Identification (NLI) is the task of automatically predicting the native language (L1) of a speaker given an unlabeled artifact such as a writing sample or speech ... See full document

... In this paper we describe the approaches we explored for the 2017 Native Language Identification shared task. We focused on simple word and sub-word units avoiding heavy use of hand-crafted features. ... See full document

... Part-of-speech ngrams: The texts were tagged with the Stanford tagger v. 3.0 2 using the largest and best (bidirectional) model. Note that the lan- guage in a couple of documents was so poor that the tagger was unable to ... See full document

... TF-IDF weighting has already been used in na- tive language identification (Kochmar, 2011; Ahn, 2011). But its importance has not been fully ex- plored. Experiments in Kochmar (2011) were lim- ited to ... See full document

... Native language identification (NLI) is the task to determine the native language of the author based on an essay written in a second ... See full document

... We used weka (Hall et al., 2009) and libsvm (Chang and Lin, 2011) to run the experiments. The classi- fication was done using an SVM classifier. We ex- perimented with different SVM kernels and different values for the ... See full document

... downloaded from the NLI Shared Task website. 1 To date, nearly all approaches have treated the task of NLI as a supervised classification problem where statistical models are trained on data from the different L1s. The ... 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

... 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

... 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

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

... ral language such as words, phrases, or meaning, an approach that works at the character level has an important advantage in that it is language inde- pendent and linguistic theory ...for native ... See full document