@inproceedings{goldin-etal-2018-native,
title = "Native Language Identification with User Generated Content",
author = "Goldin, Gili and
Rabinovich, Ella and
Wintner, Shuly",
editor = "Riloff, Ellen and
Chiang, David and
Hockenmaier, Julia and
Tsujii, Jun{'}ichi",
booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
month = oct # "-" # nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/D18-1395/",
doi = "10.18653/v1/D18-1395",
pages = "3591--3601",
abstract = "We address the task of native language identification in the context of social media content, where authors are highly-fluent, advanced nonnative speakers (of English). Using both linguistically-motivated features and the characteristics of the social media outlet, we obtain high accuracy on this challenging task. We provide a detailed analysis of the features that sheds light on differences between native and nonnative speakers, and among nonnative speakers with different backgrounds."
}
Markdown (Informal)
[Native Language Identification with User Generated Content](https://preview.aclanthology.org/jlcl-multiple-ingestion/D18-1395/) (Goldin et al., EMNLP 2018)
ACL