Thursday, May 22, 2014

WordLogic Corp. (WLGC): Revolutionizing Touch Screen Communications

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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