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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 1–50 of 83 papers

TitleStatusHype
Vector Space Model as Cognitive Space for Text Classification—0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017—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 Portuguese Native Language Identification Dataset—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
Turkish Native Language Identification—0
Unravelling Interlanguage Facts via Explainable Machine Learning—0
Using Classifier Features to Determine Language Transfer on Morphemes—0
Using N-gram and Word Network Features for Native Language Identification—0
A Deep Generative Approach to Native Language Identification—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
Feature Extraction for Native Language Identification Using Language Modeling—0
Feature Space Selection and Combination for Native Language Identification—0
Fewer features perform well at Native Language Identification task—0
Finnish Native Language Identification—0
Fusion of Simple Models for Native Language Identification—0
Improving Native Language Identification by Using Spelling Errors—0
Improving Native Language Identification with TF-IDF Weighting—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions—0
Large-Scale Native Language Identification with Cross-Corpus Evaluation—0
Learning with learner corpora: Using the TLE for native language identification—0
Leveraging Open-Source Large Language Models for Native Language Identification—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
Maximizing Classification Accuracy in Native Language Identification—0
Measuring Feature Diversity in Native Language Identification—0
Measuring Interlanguage: Native Language Identification with L1-influence Metrics—0
Native Language Identification: A Key N-gram Category Approach—0
Native Language Identification and Reconstruction of Native Language Relationship Using Japanese Learner Corpus—0
Native Language Identification: a Simple n-gram Based Approach—0
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