We present a computational analysis of cognate effects on the spontaneous linguistic
productions of advanced non-native speakers. Introducing a large corpus of highly …

Publishing articles in high‐impact English journals is difficult for scholars around the world,
especially for non‐native English‐speaking scholars (NNESs), most of whom struggle with …

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 …

Translation has played an important role in trade, law, commerce, politics, and literature for
thousands of years. Translators have always tried to be invisible; ideal translations should …

We present a computational analysis of three language varieties: native, advanced non-
native, and translation. Our goal is to investigate the similarities and differences between …

The most common approach in text mining classification tasks is to rely on features like
words, part-of-speech tags, stems, or some other high-level linguistic features. Recently, an …

We present the first comprehensive survey of Native Language Identification (NLI) applied to
texts. NLI is the task of automatically identifying an author's native language (L1) based on …

The prediction of an author's native language using only their second language writing—a
task called Native Language Identification (NLI)—is usually tackled using supervised …

This paper presents an ensemble system combining the output of multiple SVM classifiers to
native language identification (NLI). The system was submitted to the NLI Shared Task 2017 …

Abstract We present the Hebrew Essay Corpus: an annotated corpus of Hebrew language
argumentative essays authored by prospective higher-education students. The corpus …