English/Arabic/English Machine Translation: A Historical Perspective

This paper examines the history and development of Machine Translation (MT) applications for the Arabic language in the context of the history and machine translation in general. It starts with a discussion of the beginnings of MT in the US and then, depending on the work of MT historians, surveys the decline of the work on MT and drying up of funding; then the revival with globalization, development of information technology and the rising needs for breaking the language barriers in the world; and last on the dramatic developments that came with the advances in computer technology. The paper also examined some of the major approaches for MT within a historical perspective. The case of Arabic is treated along the same lines focusing on the work that was done on Arabic by Western research institutes and Western profit motivated companies. Special attention is given to the work of the one Arab company, Sakr of Al-Alamiyya Group, which was established in 1982 and has seriously since then worked on developing software applications for Arabic under the umbrella of natural language processing for the Arabic language. Major available software applications for Arabic/English Arabic MT as well as MT related software were surveyed within a historical framework.Cet article examine l’histoire et l’évolution des applications de la traduction automatique (TA) en langue arabe, dans le contexte de l’histoire de la TA en général. Il commence par décrire les débuts de la TA aux États-Unis et son déclin dû à l’épuisement du financement ; ensuite, son renouveau suscité par la mondialisation, le développement des technologies de l’information et les besoins croissants de lever les barrières linguistiques. Finalement, il aborde les progrès vertigineux réalisés grâce à l’informatique. L’article étudie aussi les principales approches de la TA dans une perspective historique. Le cas de l’arabe est traité dans cette perspective, compte tenu des travaux effectués par les instituts de recherche occidentaux et quelques sociétés privées occidentales. Un accent particulier est mis sur les recherches de la société arabe Sakr, fondée dès 1982, qui a mis au point plusieurs logiciels de traitement de langues naturelles pour l’arabe. Ces divers logiciels de TA arabe-anglais-arabe ainsi que des applications associées sont présentés dans un cadre historique

A Bi-directional Bi-Lingual Translation Braille-Text System

AbstractVisually impaired people are an integral part of the society. However, their disabilities have made them to have less access to computers, the Internet, and high quality educational software than the people with clear vision. Consequently, they have not been able to improve on their own knowledge, and have significant influence and impact on the economic, commercial, and educational ventures in the society. One way to narrow this widening gap and see a reversal of this trend is to develop a system, within their economic reach, and which will empower them to communicate freely and widely using the Internet or any other information infrastructure. Over time, the Braille system has been used by the visually impaired for communication and contact with the outside world. Translation between one language and another, using the Braille coding system, has been limited, problematic, and in many cases, one-directional.This paper describes an Arabic Braille bi-directional and bi-lingual translation/editor system that does not need expensive equipments. With appropriate rule file for any other languages, this system can be generalized to facilitate communication among literate people regardless of their disabilities (visually impaired or sighted), income, languages, and geographical locations

Embedding Web-based Statistical Translation Models in Cross-Language Information Retrieval

Although more and more language pairs are covered by machine translation services, there are still many pairs that lack translation resources. Cross-language information retrieval (CLIR) is an application which needs translation functionality of a relatively low level of sophistication since current models for information retrieval (IR) are still based on a bag-of-words. The Web provides a vast resource for the automatic construction of parallel corpora which can be used to train statistical translation models automatically. The resulting translation models can be embedded in several ways in a retrieval model. In this paper, we will investigate the problem of automatically mining parallel texts from the Web and different ways of integrating the translation models within the retrieval process. Our experiments on standard test collections for CLIR show that the Web-based translation models can surpass commercial MT systems in CLIR tasks. These results open the perspective of constructing a fully automatic query translation device for CLIR at a very low cost.Comment: 37 page

Building Knowledge Management System for Researching Terrorist Groups on the Web

Nowadays, terrorist organizations have found a cost-effective resource to advance their courses by posting high-impact Web sites on the Internet. This alternate side of the Web is referred to as the “Dark Web.” While counterterrorism researchers seek to obtain and analyze information from the Dark Web, several problems prevent effective and efficient knowledge discovery: the dynamic and hidden character of terrorist Web sites, information overload, and language barrier problems. This study proposes an intelligent knowledge management system to support the discovery and analysis of multilingual terrorist-created Web data. We developed a systematic approach to identify, collect and store up-to-date multilingual terrorist Web data. We also propose to build an intelligent Web-based knowledge portal integrated with advanced text and Web mining techniques such as summarization, categorization and cross-lingual retrieval to facilitate the knowledge discovery from Dark Web resources. We believe our knowledge portal provide counterterrorism research communities with valuable datasets and tools in knowledge discovery and sharing