A lack of standard datasets and evaluation metrics has prevented the field of paraphrasing
from making the kind of rapid progress enjoyed by the machine translation community over …

In this second edition of the best-selling Second Language Research, Alison Mackey and
Sue Gass continue to guide students step-by-step through conducting the second language …

Naively collecting translations by crowdsourcing the task to non-professional translators
yields disfluent, low-quality results if no quality control is exercised. We demonstrate a …

In this paper we give an introduction to using Amazon's Mechanical Turk crowdsourcing
platform for the purpose of collecting data for human language technologies. We survey the …

Crowdsourcing is an emerging collaborative approach that can be used for the acquisition of
annotated corpora and a wide range of other linguistic resources. Although the use of this …

The written form of Arabic, Modern Standard Arabic (MSA), differs quite a bit from the spoken
dialects of Arabic, which are the true “native” languages of Arabic speakers used in daily life …

Using semantic technologies for mining and intelligent information access to social media is
a challenging, emerging research area. Traditional search methods are no longer able to …

Social media services such as Twitter offer an immense volume of real-world linguistic data.
We explore the use of Twitter to obtain authentic user-generated text in low-resource …

Although the field has led to promising early results, the use of crowdsourcing as an integral
part of science projects is still regarded with skepticism by some, largely due to a lack of …

We present a large scale study of the languages spoken by bilingual workers on Mechanical
Turk (MTurk). We establish a methodology for determining the language skills of anonymous …