[PDF] Top 20 Experimental Results on the Native Language Identification Shared Task
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Experimental Results on the Native Language Identification Shared Task
... shared task. The dataset con- tains essays written in English from native speakers of 11 languages (Arabic, Chinese, French, German, Hindi, Italian, Japanese, Korean, Spanish, Telugu, and ...per ... See full document
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Overview for the Second Shared Task on Language Identification in Code Switched Data
... the misalignment issues and guarantee consistency. Two Egyptian native speakers were asked to per- form the annotation. They were trained to get in- volved with the project’s concepts and related lin- guistic ... See full document
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Fewer features perform well at Native Language Identification task
... NLI shared tasks have been based on L2 English data, but NLI research has been ex- tended to at least six other non-English languages (Malmasi and Dras, ...dialect identification (Malmasi et ...good ... See full document
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A study of N gram and Embedding Representations for Native Language Identification
... first Native Lan- guage Identification shared task (Tetreault et ...the task, and wide range of lexical and syntactic feature representa- tions were ...this shared task, ... See full document
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Robust, Lexicalized Native Language Identification
... distinct task in computational linguistics, native language identification has been reasonably well-addressed (Koppel et ...conflicting results—the evaluation of these feature sets has been ... See full document
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Overview for the First Shared Task on Language Identification in Code Switched Data
... each language pair at the tweet level. The system predictions for this task are taken directly from the individual token predictions in the following manner: if the system predictions for the same tweet ... See full document
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Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications
... (e.g., applications that help teachers develop reading materials), delivery of curriculum and assessments (e.g., applications where the student receives instruction and interacts with the system), and reporting of ... See full document
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The CMU Submission for the Shared Task on Language Identification in Code Switched Data
... token-level language ID model trained on a large number of languages, as opposed to disambiguating only two languages at a ...the results for all language pairs, but the largest improvement is in ... See full document
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The Howard University System Submission for the Shared Task in Language Identification in Spanish English Codeswitching
... context. Results for our submitted predic- tions are summarized in Table ...released results, our system never correctly la- beled a token as ambiguous or ... See full document
5
Norwegian Native Language Identification
... of Native Language Identification (NLI) using data from learn- ers of Norwegian, a language not yet used for this ...the task of predicting a writer’s first language using only ... See full document
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Chinese Native Language Identification
... All of the tested models are effective, and they appear to be complementary as combining them improves overall accuracy. We also note the differ- ence in the efficacy of the feature representations and see a clear ... See full document
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LIMSI’s participation to the 2013 shared task on Native Language Identification
... the native language in context, that is, by translating complete sentences and us- ing a posteriori translation ...the language pairs involving English and the native languages of the ... See full document
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A Report on the First Native Language Identification Shared Task
... Native Language Identification, or NLI, is the task of automatically classifying the L1 of a writer based solely on his or her essay writ- ten in another ...a language, as well as ... See full document
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A Report on the 2017 Native Language Identification Shared Task
... Native Language Identification (NLI) is the task of automatically identifying the native language (L1) of an individual based on their language production in a learned ... See full document
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The Story of the Characters, the DNA and the Native Language
... NLI Shared Task we submitted the two main systems, namely the 5-8-grams presence bits normalized kernel and the LRD kernel based on sum of 6,8-grams, ...with results shown in Ta- ble ...the ... See full document
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Cross corpus Native Language Identification via Statistical Embedding
... the results fall to 56.5%. Recently, the 2017 Native Language Iden- tification Shared Task (Malmasi et ...tive language of written texts, alongside a second task on spoken ... See full document
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Results of the WMT17 Metrics Shared Task
... The underlying texts and MT systems come from two other WMT tasks, namely News Trans- lation Task (Bojar et al., 2017a, denoted as Find- ings 2017 in the following) and Neural MT train- ing task (Bojar et ... See full document
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Native Language Identification with PPM
... 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- ... See full document
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Arabic Native Language Identification
... Second Language Acquisition (SLA) investigate the multiplex of factors that influence our ability to acquire new languages and chief among these factors is the role of the learner’s mother ...in Native ... See full document
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Identifying Chemical Names in Biomedical Text: an Investigation of Substring Co occurrence Based Approaches
... As we can see, the N-gram approaches perform better than the other ones. The interpolated model with quadratic coefficients needs a lot of development data, so it does not produce good results in our case. Simple ... See full document
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