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Native Language Identification

Native Language Identification (NLI) is the task of determining an author's native language (L1) based only on their writings in a second language (L2).

Papers

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Showing 51–75 of 83 papers

TitleStatusHype
Feature Extraction for Native Language Identification Using Language Modeling—0
Norwegian Native Language Identification—0
Oracle and Human Baselines for Native Language Identification—0
Measuring Feature Diversity in Native Language Identification—0
Large-Scale Native Language Identification with Cross-Corpus Evaluation—0
Finnish Native Language Identification—0
Can characters reveal your native language? A language-independent approach to native language identification—0
Arabic Native Language Identification—0
Exploring Syntactic Features for Native Language Identification: A Variationist Perspective on Feature Encoding and Ensemble Optimization—0
The MERLIN corpus: Learner language and the CEFR—0
Native Language Identification Using Large, Longitudinal Data—0
Chinese Native Language Identification—0
Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report—0
Exploring Syntactic Representations for Native Language Identification—0
Simple Yet Powerful Native Language Identification on TOEFL11—0
LIMSI's participation to the 2013 shared task on Native Language Identification—0
Linguistic Profiling based on General--purpose Features and Native Language Identification—0
Native Language Identification with PPM—0
Improving Native Language Identification with TF-IDF Weighting—0
Maximizing Classification Accuracy in Native Language Identification—0
Native Language Identification: A Key N-gram Category Approach—0
Feature Space Selection and Combination for Native Language Identification—0
Native Language Identification using large scale lexical features—0
Experimental Results on the Native Language Identification Shared Task—0
Combining Shallow and Linguistically Motivated Features in Native Language Identification—0
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