Name: QCRI Parallel Tweets 
Description: bilingual corpus of Arabic-English parallel tweets and a list of Twitter accounts who post Arabic-English
Provider: QCRI
Paper Title: Constructing a Bilingual Corpus of Parallel Tweets
  
Tasks: machine translation
Venue Name: Workshop on Building and Using Comparable Corpora
Authors: Hamdy Mubarak,Sabit Hassan,Ahmed Abdelali
Abstract: In a bid to reach a larger and more diverse audience, Twitter users often post parallel tweets—tweets that contain the same content but are written in different languages. Parallel tweets can be an important resource for developing machine translation (MT) systems among other natural language processing (NLP) tasks. In this paper, we introduce a generic method for collecting parallel tweets. Using this method, we collect a bilingual corpus of English-Arabic parallel tweets and a list of Twitter accounts who post English-Arabictweets regularly. Since our method is generic, it can also be used for collecting parallel tweets that cover less-resourced languages such as Serbian and Urdu. Additionally, we annotate a subset of Twitter accounts with their countries of origin and topic of interest, which provides insights about the population who post parallel tweets. This latter information can also be useful for author profiling tasks.