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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 1–25 of 83 papers

TitleStatusHype
A Deep Generative Approach to Native Language Identification—0
Advancing Linguistic Features and Insights by Label-informed Feature Grouping: An Exploration in the Context of Native Language Identification—0
Anglicized Words and Misspelled Cognates in Native Language Identification—0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017—0
Arabic Native Language Identification—0
A Report on the 2017 Native Language Identification Shared Task—0
A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task—0
A Report on the First Native Language Identification Shared Task—0
A Shallow Neural Network for Native Language Identification with Character N-grams—0
A Portuguese Native Language Identification Dataset—0
Automated essay scoring with string kernels and word embeddings—0
Can characters reveal your native language? A language-independent approach to native language identification—0
Can string kernels pass the test of time in Native Language Identification?—0
Chinese Native Language Identification—0
CIC-FBK Approach to Native Language Identification—0
Classifier Stacking for Native Language Identification—0
Combining Shallow and Linguistically Motivated Features in Native Language Identification—0
Cross-corpus Native Language Identification via Statistical Embedding—0
Ensemble Methods for Native Language Identification—0
Experimental Results on the Native Language Identification Shared Task—0
Exploring Adaptor Grammars for Native Language Identification—0
Exploring Optimal Voting in Native Language Identification—0
Exploring Syntactic Features for Native Language Identification: A Variationist Perspective on Feature Encoding and Ensemble Optimization—0
Exploring Syntactic Representations for Native Language Identification—0
Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report—0
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