Large-Scale Native Language Identification with Cross-Corpus Evaluation

Native Language Identification using large scale lexical features

On the Development of a Large Scale Corpus for Native Language Identification

Native Language Identification (NLI) is the task of identifying an author’s native language from their writings in a second language. In this paper, we introduce a new corpus (italki), which is larger than the current co…

Improving Language Identification of Accented Speech

Language identification from speech is a common preprocessing step in many spoken language processing systems. In recent years, this field has seen fast progress, mostly due to the use of self-supervised models pretraine…

A language model based approach towards large scale and lightweight language identification systems

Multilingual spoken dialogue systems have gained prominence in the recent past necessitating the requirement for a front-end Language Identification (LID) system. Most of the existing LID systems rely on modeling the lan…

Cross-corpus Native Language Identification via Statistical Embedding

In this paper, we approach the task of native language identification in a realistic cross-corpus scenario where a model is trained with available data and has to predict the native language from data of a different corp…