WordLogic Corp. has
over ten years of advanced research and development behind it to position the
company as a world leader in predictive text input and data retrieval
technologies. The company has foundational patents in phrase prediction, word
chunking, and cloud based dictionaries.
The company’s iKnowU
Gen4 keyboard is essentially a touch screen keyboard that will come up with
expected phrases to aid when writing text. The technology is similar to the
older T9 technology in cell phones where the cell phone tries to guess the next
phrase you are writing, but far superior, as iKnowU gives you tabs with a range
of suggested phrase options. The REACH platform allows retrieval of data from
other applications on your notepad or smart phone without having to apply a cut
and paste to place the data from one application to another. The iKnowU
keyboard is positioned to bring predictive text input technology to a far
bigger mainstream group of users.
Predictive
technology refers to a fairly large body of information technology tools
capable of discovering and analyzing patterns in data so that past behavior can
be used to forecast likely future behavior. For instance, the principle reason
the National Security Agency (NSA) is performing the highly controversial bulk
collection of all telecommunications data of every single American citizen is
to mine the data and use predictive technology to attempt to forecast and
predict a possible terrorist attack. What heightens the controversy is that
standard investigation techniques appear to be adequate. For instance, the CIA
issued several warnings to the Bush White House regarding the possibility of a
terrorist attack, which were not followed up on. Second of all, the handful of
terrorist attacks the NSA have claimed to prevent don’t seem to stand up to
scrutiny as other ongoing investigations were occurring simultaneously, and
lastly, this system of data collection which can be viewed as a massive
intrusion of privacy. So it’s debatable if such vast amounts of data can be effectively
used to find patterns to exploit and make predictions. The haystack is ever
growing while searching for needles.
However, there are
literally hundreds of useful applications of predictive technologies to better
our lives ranging from weather prediction to stock market analysis. It was
advances in linguistics that ultimately led to the development of predictive
text input technology.
The scientific study
of language, linguistics, tends not to capture as much public attention as
other scientific fields. However, advances in linguistic analysis have, for
instance, allowed for the archeologist and anthropologist to be able to
determine what specific period of time a text of writing has originated. One
area of linguistics introduced the notion of natural languages. The idea is
that the ability for children to learn a language appears inherently innate as
it is the first thing they learn and formal education doesn’t appear necessary
for children to begin learning the language. So there is perhaps some underlying
universal grammar inherent in our minds even before we are socialized with
others in our lives.
Attempts to find a
universal grammar inherent in all languages led to the development of
computational linguistics. This involves applying statistical analysis to the
structure of phrases. Developing from these studies was semantic analysis in
which one tries to identify patterns in the relationships between the terms and
concepts contained in an unstructured collection of text. From this one can develop
rules such as noting that words used in the same context tend to have similar
meanings. Once you have a collection of such rules, one can then apply
probability values to the appearance of a particular word or phrase. This
basically underlies the algorithms for predictive text input technology.
Statistical analysis
of language has essentially become a dead end in linguistics as it has not
really shed any light on the nature of the underlying origin of language. Think
of making films of activities outside your bedroom window. After you collect
lots of data, you may be able to make future predictions of what to expect to
see out your window at a future time. However, no further understanding of why
the phenomena outside your window is understood by such an analysis, which
requires further scientific exploration. So basically, statistical analysis
just creates more data.
The latest studies
in linguistics have even been challenging the fundamental doctrine of subject.
It has been firmly held since this particular science began as a study, that
the primary purpose of language was to fulfill the sociological need for
communication. Newer studies apparently indicate that the fundamental purpose
of language is to fulfill the biological need to interpret thought, and
communication is secondary. It is now recognized that a language incorporates a
unique cultural view of the world, and once a language is lost, so is that
world view. Hence there are groups of linguist dedicated to saving dying
languages, such as the Native American Wampanoag language that was saved in the
1990s. In Italy, you have grandmothers unable to communicate with their
grandchildren because they speak a dying dialect, and linguists have been
working to save those as well.
While computational
linguistics has not led to new science, it certainly is leading to important
practical applications. WordLogic Corp. with its platform of technologies is
clearly positioned to be a global leader in those applications and create a
revolution in the way businesses and people communicate with each other via
touch screen devices.
www.wordlogic.com
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