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Controlled English for Effective Communication during Coalition Operations
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In: DTIC (2013)
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Abstract:
Coalition operations involve multi-team and/or multi-nation collaborations. Linguistic variations and cultural differences often create unexpected challenges for effective communication, and thus for Command and Control (C2) during military operations. In this paper, we propose using a controlled natural language, namely International Technology Alliance Controlled English (CE), and CE-based tools to improve cross-linguistic/cross-cultural communication. We will discuss various types of linguistic variations and cultural differences manifested by U.S. and British groups during coalition operations. The differences include lexical differences, and more importantly, differences in language use. These differences often result in miscommunication that can impede effective operations. CE (Mott 2010) is a subset of English with a restricted grammar that is based on a formal syntax and semantics. CE is human friendly but it allows machine processing. The current version of CE provides a common form of expression that promotes standard terminology and usage to reduce ambiguity in person-to-person communication; allows end-users to create new concepts with associated syntax and semantics; and provides a basis for automated and assistive applications and tools that support natural human-computer interaction, reasoning, and explanation. CE and CE-based tools can play an important role in facilitating cross-linguistic and cross-culture communication and enabling multi-nation teams to work together effectively and efficiently. ; Presented at the 18th International Command and Control Research and Technology Symposium (ICCRTS) C2 in Underdeveloped, Degraded and Denied Operational Environments held in Alexandria, VA, on 19-21 June 2013.
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Keyword:
*COALITION OPERATIONS; *COMMAND AND CONTROL SYSTEMS; *CROSS-LINGUISTIC COMMUNICATION; *ENGLISH LANGUAGE; *INTERNATIONAL TECHNOLOGY ALLIANCE CONTROLLED ENGLISH; *JOINT MILITARY ACTIVITIES; *MILITARY FORCES(UNITED STATES); *NATURAL LANGUAGE; *STANDARDS; *UNITED KINGDOM; BRIEFING CHARTS; Command; Control and Communications Systems; CULTURAL DIFFERENCES; GRAPHICAL USER INTERFACE; HUMAN-COMPUTER INTERACTION; LANGUAGE DIFFERENCES; LANGUAGE USE; LINGUISTIC DIFFERENCES; LINGUISTIC VARIATIONS; Linguistics; MILITARY FORCES(FOREIGN); Military Operations; MISCOMMUNICATION; MULTINATIONAL COLLABORATIONS; SEMANTICS; Strategy and Tactics; SYMPOSIA; SYNTAX
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA588225
http://www.dtic.mil/docs/citations/ADA588225
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| 2 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 3 |
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
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In: DTIC (2013)
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| 4 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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| 5 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 6 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 7 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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| 8 |
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
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In: DTIC (2009)
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| 9 |
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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| 10 |
Applying A Formal Language of Command and Control For Interoperability Between Systems
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In: DTIC (2008)
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| 11 |
Odds of Successful Transfer of Low-level Concepts: A Key Metric for Bidirectional Speech-to-Speech Machine Translation in DARPA's TRANSTAC Program
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In: DTIC (2008)
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| 14 |
A Methodology to Predict Specific Communication Themes from Overall Communication Volume for Individuals and Teams
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In: DTIC (2006)
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| 16 |
Deep Versus Broad Methods for Automatic Extraction of Intelligence Information From Text
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In: DTIC (2005)
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| 17 |
Quality of Service-Driven Requirements Analyses for Component Composition: A Two-Level Grammar++ Approach
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In: DTIC (2005)
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| 19 |
Inferring Parts of Speech for Lexical Mappings via the Cyc KB
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In: DTIC (2004)
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| 20 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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