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(U) For Media Mining, the Future Is Now!
FROM: Joseph Picone and
Human Language Technology (S23)
Run Date: 08/01/2006

(TS//SI) In the first article on the Human Language Technology
Program Management Office's (HLT PMO) activities and plans, we
explained that we have five Strategic Thrusts. In this article, we
will focus on the most active and fast-paced of the five: Media
Mining. Its goal is to provide seamless access to information no
matter what the information's source may be -- audio, image, or
text. Right now over two hundred analysts have access to some
Media Mining capabilities.
(S//SI) Near-Real-Time Alerts: RT-10
(S//SI) Integration of diverse information sources to produce nearreal-time alerts is a major goal of a new Agency-wide program,
RT-10. RT means REAL TIME, and 10 refers to reducing the time
between collection and the generation of actionable intelligence an
order of magnitude in each spin of the project.

(S//SI) The first deployment of RT-10 to the JIOC-I in Baghdad in
4th quarter 2006 will focus on integration of diverse information
sources, including GSM voice intercept and geospatial coordinates,
to reduce the time required to generate actionable intelligence.
(S//SI) New Voice-Services Platform: Voice  RT
(S//SI) The HLT PMO is collaborating with RT-10 on the
development of a new voice services platform, Voice RT . The first
deployment of Voice  RT , which is architecturally-based on an Army
INSCOM* prototype known as ALICAT, will be operational in the
Baghdad node of RT-10 in September 2006. This system is
designed to index and tag 1 million cuts per day, and provide
auxiliary HLT services such as language, dialect and speaker
identification. The combination of these technologies with other RT10 capabilities, such as geospatial coordinates, will provide a
unique ability to generate actionable intelligence quickly and
accurately.

(S//SI) Voice RT is a tool that allows analysts to perform keyword
searching on voice content.
(S//SI) Voice Word-Search Capabilities
(TS//SI ) The HLT PMO's Media Mining Thrust began as an effort to
bring word-search capabilities (e.g., "Google for Voice") to Voice
Language Analysts to make it easy for them to locate intercept rich
in intelligence data. Voice word search technology allows analysts
to find and prioritize intercept based on its intelligence content in
much the same way as they now search text in PINWALE. For

 SERIES: 
(U) HLT
1.  Human-Language
Technology in Your
Future
2.  For Media Mining,
the Future Is Now!
3.  For Media Mining,
the Future Is Now!
(conclusion)
4.  'Knowledge
Discovery': Finding
the Best Material
5.  Human-Language
Technology -Everywhere
6.  Dealing With a
'Tsunami' of
Intercept
7.  Building HumanLanguage
Technology
8.  Strangers in a
Strange Land?

 example, in the Global War on Terrorism (GWOT), analysts can
locate intercept dealing with explosive devices by searching for
common terms such as " operation " or " detonator ," as well as
more subtle terms about materials (" hydrogen peroxide "), place
names (" Baghdad "), or people (" Musharaf ").
(S//SI) The first generation of this technology has been centered
around Commercial-off-the-Shelf (COTS) software, NEXminer ,
developed by a startup company, Nexidia. The system is designed
to support both real-time searches , in which incoming data is
automatically searched by a designated set of dictionaries, and
retrospective searches , in which analysts can repeatedly search
over months of past traffic. The former capability allows the tool to
function as a near real-time tipper. The latter capability allows
analysts to rediscover important intelligence information and to
refine their search strategies. This can be especially important in
cases where pieces of a SIGINT "puzzle" become apparent and an
analyst needs to go back to previous messages to see if other
unnoticed pieces can be found.
(S//SI) This tool is very effective because it integrates highperformance speech processing technology with a most important
agency resource, analyst knowledge of targets and missions. This
technology was initially introduced to the analyst community in
2004 as a prototype, RHINEHART, which had been developed by
SIGDEV Strategy and Governance (SSG).
(S//SI) RHINEHART now operates across a wide variety of missions
and languages, and is used throughout the NSA/CSS Enterprise.
One recent example of RHINEHART success occurred when Persian
GWOT analysts searched for the words "negotiations" or "America"
in their traffic, and RHINEHART located a very important call that
was transcribed verbatim providing information on an important
Iranian target's discussion of the formation of the new Iraqi
government.
*Notes: (U) INSCOM = US Army Intelligence and Security
Command
(U) Watch for the conclusion of this look at media mining, coming
soon...

"(U//FOUO) SIDtoday articles may not be republished or reposted outside NSANet
without the consent of S0121 (DL sid_comms)."

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DERIVED FROM: NSA/CSSM 1-52, DATED 08 JAN 2007 DECLASSIFY ON: 20320108