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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

Showing 125 of 83 papers

TitleStatusHype
Leveraging Open-Source Large Language Models for Native Language Identification0
Native Language Identification with Large Language Models0
Native Language Identification with Big Bird EmbeddingsCode0
Turkish Native Language Identification0
Scaling Native Language Identification with Transformer Adapters0
Unravelling Interlanguage Facts via Explainable Machine Learning0
Native Language Identification and Reconstruction of Native Language Relationship Using Japanese Learner Corpus0
Native-Language Identification with Attention0
A Deep Generative Approach to Native Language Identification0
A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions0
Topics to Avoid: Demoting Latent Confounds in Text ClassificationCode0
Towards Ethical Content-Based Detection of Online Influence CampaignsCode0
Regression or classification? Automated Essay Scoring for Norwegian0
Anglicized Words and Misspelled Cognates in Native Language Identification0
On the Development of a Large Scale Corpus for Native Language IdentificationCode0
Transductive Learning with String Kernels for Cross-Domain Text Classification0
The Role of Emotions in Native Language Identification0
Native Language Identification with User Generated Content0
Native Language Identification With Classifier Stacking and Ensembles0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set0
Punctuation as Native Language Interference0
Cross-corpus Native Language Identification via Statistical Embedding0
Predicting Foreign Language Usage from English-Only Social Media Posts0
Using Classifier Features to Determine Language Transfer on Morphemes0
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