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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
Native Language Identification on Text and Speech—0
Native Language Identification using Recurring n-grams -- Investigating Abstraction and Domain Dependence—0
Native Language Identification Using a Mixture of Character and Word N-grams—0
Native Language Identification using large scale lexical features—0
Native Language Identification Using Large, Longitudinal Data—0
Native Language Identification using Phonetic Algorithms—0
Native Language Identification using Stacked Generalization—0
Native Language Identification With Classifier Stacking and Ensembles—0
Native-Language Identification with Attention—0
Native Language Identification with Large Language Models—0
Native Language Identification with PPM—0
Native Language Identification with User Generated Content—0
Native Tongues, Lost and Found: Resources and Empirical Evaluations in Native Language Identification—0
Neural Networks and Spelling Features for Native Language Identification—0
Norwegian Native Language Identification—0
Oracle and Human Baselines for Native Language Identification—0
Predicting Foreign Language Usage from English-Only Social Media Posts—0
Punctuation as Native Language Interference—0
Regression or classification? Automated Essay Scoring for Norwegian—0
Robust, Lexicalized Native Language Identification—0
Scaling Native Language Identification with Transformer Adapters—0
Simple Yet Powerful Native Language Identification on TOEFL11—0
Stacked Sentence-Document Classifier Approach for Improving Native Language Identification—0
String Kernels for Native Language Identification: Insights from Behind the Curtains—0
The MERLIN corpus: Learner language and the CEFR—0
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