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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 26–50 of 83 papers

TitleStatusHype
A Portuguese Native Language Identification Dataset—0
Automated essay scoring with string kernels and word embeddings—0
Native Language Identification Using a Mixture of Character and Word N-grams—0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017—0
A Report on the 2017 Native Language Identification Shared Task—0
A Shallow Neural Network for Native Language Identification with Character N-grams—0
A study of N-gram and Embedding Representations for Native Language IdentificationCode0
CIC-FBK Approach to Native Language Identification—0
Classifier Stacking for Native Language Identification—0
Ensemble Methods for Native Language Identification—0
The Power of Character N-grams in Native Language Identification—0
Exploring Optimal Voting in Native Language Identification—0
Stacked Sentence-Document Classifier Approach for Improving Native Language Identification—0
Fewer features perform well at Native Language Identification task—0
Fusion of Simple Models for Native Language Identification—0
Neural Networks and Spelling Features for Native Language Identification—0
Native Language Identification using Phonetic Algorithms—0
Vector Space Model as Cognitive Space for Text Classification—0
Can string kernels pass the test of time in Native Language Identification?—0
Native Language Identification on Text and Speech—0
Improving Native Language Identification by Using Spelling Errors—0
Learning with learner corpora: Using the TLE for native language identification—0
Native Language Identification using Stacked Generalization—0
Advancing Linguistic Features and Insights by Label-informed Feature Grouping: An Exploration in the Context of Native Language Identification—0
String Kernels for Native Language Identification: Insights from Behind the Curtains—0
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