As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies …

We present fully functional software that identifies direct speech quotations as part of its
automatic analysis of more than 20,000 news articles per day in currently 11 languages. The …

We present a method to transliterate names in the framework of end-to-end statistical
machine translation. The system is trained to learn when to transliterate. For Arabic to …

Named entity recognition (NER) is nowadays an important task, which is responsible for the
identification of proper names in text and their classification as different types of named …

Matching coreferent named entities without prior knowledge requires good similarity
measures. Soft-TFIDF is a fine-grained measure which performs well in this task. We …

The digital identity (or electronic identity) of a person is about being able to prove upon
authentication who one is on the Internet, with a certain level of assurance, such as by …

Named entity recognition has served many natural language processing tasks such as
information retrieval, machine translation, and question answering systems. Many …

This study aimed to explore variant transliterations of the same Arabic names in English by
Arabic native speakers on Facebook; to find the distribution of English variant transliteration …

The Internet gives us access to a wealth of information in languages we don't understand.
The investigation of automated or semi-automated approaches to translation has become a …

We address the task of joint training of transliteration models for multiple language pairs
(multilingual transliteration). This is an instance of multitask learning, where individual tasks …