Mobile Interface for Domain Specific Machine Translation Using Short Messaging Service

Agrawal, Avinash J.; Chandak, M. B.

doi:10.1109/itng.2007.126

Cited by 8 publications

(4 citation statements)

References 1 publication

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“…The MT research and development community continue to tackle these challenges in general, looking at ways to improve language coverage for so-called 'low resource' languages 7 and ways to run MT systems on mobile devices (e.g. Agrawal & Chandak, 2007), for example. One significant challenge to add here is that those in the field of emergency response may not be fully informed about the pitfalls of MT technology.…”

Section: Technological Issuesmentioning

confidence: 99%

Crisis Translation

O'Brien

2022

incontext

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The fields of disaster studies and crisis communication have been established for a long time. However, the role of translation in these fields has largely been overlooked until recently. A considerable body of research is now emerging that investigates translation as a crisis communication tool. This paper serves to provide a snapshot in time of the progress to date. A brief introduction to the disciplines of disaster studies and crisis communication is provided and crisis translation is situated at the nexus of these two areas. Following from this, the article considers the position of crisis translation in relation to topics of interest to translation studies scholars such as conflict, development, and community translation. Some of the main topics that have received recent attention to date, such as emergency response policy, translation technology, citizen translator training and ethics are then introduced. The lack of recognition of translation as a crisis communication tool in emergency response policies is called out and recommendations for such policies are highlighted. The essential role of volunteers in crisis response and how this relates to translation is discussed, along with the ethical considerations that need to be taken into account. The potential and challenges of translation technology to assist in all stages of crises is then elaborated. Taking a proposal for research directions in disaster studies, which outlines guiding principles and research thrusts, how translation studies can respond to that agenda is briefly considered. It is concluded that translation and interpreting research can contribute to the five ‘guiding principles’ of horizon scanning, interdisciplinarity, ethics, knowledge transfer and impact. Equally, crisis translation can also easily contribute to the five research ‘thrusts’ of justice, risk, habitation zones, data and technology, and infrastructure for humanity. Indeed, the work to date on crisis and translation has already made significant contributions to these topics, but there is considerable potential for further developments.

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Section: Technological Issuesmentioning

confidence: 99%

Crisis Translation

O'Brien

2022

incontext

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“…What is needed is a service that performs language translation according to the preferred language of the recipient, without them even knowing. The literature has focused on SMS language translation; where the service is implemented either in the mobile device (Agrawal & Chandak, 2007) or in the network (Chava et al, 2007;Moka LLC, 2009). There are numbers of drawbacks for translation at end devices or translation outside the telecom operator's network which has been demonstrated in our previous work (Samanta et al, 2010).…”

Section: Background and Motivationmentioning

confidence: 99%

Automatic Language Translation

Samanta

Woods

Ghanbari

2011

International Journal of Technology and Human Interaction

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In this paper, the authors demonstrate that language diversity imposes a significant barrier in message communication like Short Messaging Service (SMS). SMS and other messaging services, including Multimedia Messaging Service (MMS) and e-mail, are widely used for person-to-person and Business-to-Consumer (B2C) communications due to their reach, simplicity and reliability of delivery. Reach and service delivery can be further enhanced if the message is delivered in the recipient’s preferred language. Using language translation software and a database server, the authors show that the messages can be delivered as per language preference of the recipient irrespective of the language of the original message. They demonstrate the proposed mechanism can deliver a large number of services, such as education, health care management, notification in emergency situations, news and weather reports, to those who are currently not able to access them due to language barrier.

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“…Here searching of such short information on web is not efficient and a common user does not have knowledge of actual database query. In such a scenario Question Answering that answers user query without any human intervention can prove to be very useful [2]. By using such system answers for repeated question can be provided accurately and quickly.…”

Section: Introductionmentioning

confidence: 99%

Object-Relational Database Based Category Data Model for Natural Language Interface to Database

Agrawal¹,

Kakde²

2011

IJAIA

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Domain specific question answering technique allows users to use natural language to express their queries so that users need not have the knowledge about the structures of the information source. For such an application relational model is not suitable as it is not a natural way to represent real world knowledge. Using relational model for representing information source results in scattered relations of data about the real world objects. In this paper an effective category model is presented to organize information according to their contents based on object-relational database.For the discussion of the category model railway domain is used in the paper.

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Mobile Interface for Domain Specific Machine Translation Using Short Messaging Service

Cited by 8 publications

References 1 publication

Crisis Translation

Crisis Translation

Automatic Language Translation

Object-Relational Database Based Category Data Model for Natural Language Interface to Database

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