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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
Leveraging Open-Source Large Language Models for Native Language Identification—0
Native Language Identification with Large Language Models—0
Native Language Identification with Big Bird EmbeddingsCode0
Turkish Native Language Identification—0
Scaling Native Language Identification with Transformer Adapters—0
Unravelling Interlanguage Facts via Explainable Machine Learning—0
Native Language Identification and Reconstruction of Native Language Relationship Using Japanese Learner Corpus—0
A Deep Generative Approach to Native Language Identification—0
Native-Language Identification with Attention—0
A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task—0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions—0
Topics to Avoid: Demoting Latent Confounds in Text ClassificationCode0
Towards Ethical Content-Based Detection of Online Influence CampaignsCode0
Anglicized Words and Misspelled Cognates in Native Language Identification—0
Regression or classification? Automated Essay Scoring for Norwegian—0
On the Development of a Large Scale Corpus for Native Language IdentificationCode0
Transductive Learning with String Kernels for Cross-Domain Text Classification—0
The Role of Emotions in Native Language Identification—0
Native Language Identification with User Generated Content—0
Native Language Identification With Classifier Stacking and Ensembles—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
Punctuation as Native Language Interference—0
Cross-corpus Native Language Identification via Statistical Embedding—0
Using Classifier Features to Determine Language Transfer on Morphemes—0
Predicting Foreign Language Usage from English-Only Social Media Posts—0
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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