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 …

The increasing levels of international communication in all aspects of life lead to a growing
demand of language skills. Traditional language courses compete nowadays with a wide …

In this paper, we explore spelling errors as a source of information for detecting the native
language of a writer, a previously under-explored area. We note that character n-grams from …

In many language learning scenarios, it is important to anticipate spelling errors. We model
the spelling difficulty of words with new features that capture phonetic phenomena and are …

In this paper, we describe experiments designed to explore and evaluate the impact of
punctuation marks on the task of native language identification. Punctuation is specific to …

A large number of people are forced to use the Web in a language they have low literacy in
due to technology asymmetries. Written text in the second language (L2) from such users …

We propose a sequence labeling approach to cognate production based on the orthography
of the words. Our approach leverages the idea that orthographic changes represent sound …

Native language identification (NLI)—the task of automatically identifying the native
language (L1) of persons based on their writings in the second language (L2)—is based on …

Developing a framework for the explanation of interlingual features for native and other
language in uence detection Page 1 Developing a framework for the explanation of interlingual …

We present experiments that show the influence of native language on lexical choice when
producing text in another language–in this particular case English. We start from the premise …