NanoSyntax:
Natural Language Processing
Group 1
Key Words: Linguistic Agents, Natural Language, NanoSyntax
For over four decades natural language processing has been fantasy in the computer world. Natural language processing, also known as NLP, is the process of computers breaking the code of natural language. The human brain processes language through encoded packages, but older NLPs process language using statistic models decoding sentences. There have been many attempts to allocate computers to understand human language by dozens of commercial companies and universities. A company named Linguistic Agents created the new and improved version of NLP named NanoSyntax, which has made the code breaking process of natural language possible. The company’s new approach to understanding human language is based on linguistic rules and encryption of sentences. Linguistic Agents’ software is the only natural language software in the market that has this new technology, giving them an immense competitive advantage. This innovative software will allow this company to partner with many additional companies, and will create better solutions for NLP processing. The implementation of improved NLP will allow better search engines, Internet gaming, educational software and improved automated systems.
Linguistic Agents’ software is the only natural language
software available today based on the latest linguistic theory,
NanoSyntax. Linguistic Agents (L.A.) has
been building a full Nanosyntactic Linguistic tree that enables computers to
understand the true meaning of complex sentences.
Linguistic Agents seeks to resolve an almost inherent failure in the communication between man and computer, and to educate computers to receive instructions from humans in a natural and intuitive language. To date, the company has received $1.1 million in financing from private investors for research on natural language processing. Every sentence spoken by a human being can be broken down into two different types of understanding. One type is known as “shallow structure”, it is the basic understanding of the specific sentence, and this understanding is unique to the specific sentence. The second type is known as “deep structure”, which is the root of understanding of the sentence and is the same for all sentences that have the same meaning even if the sentences are in different languages. Most natural language applications use a shallow-parsing algorithm to extract certain parts of the data contained in the sentence. This allows these applications to do a limited amount of natural language processing
and, therefore, get limited results. When using a deep-parsing algorithm, all sentences with the same meaning have the same output. This allows for better natural language interfacing, as well as the ability to use the output in a multitude of other applications.
Linguistic Agents (L.A.) has created an application that
allows computers to understand human language.
Linguistic Agents wanted to figure out a way to take sentences and convert the information into a format that the linguistic tree would understand. Running the sentences through the linguistic tree enables the computer to understand the meaning of the sentence. Linguistic technology is like an advanced search engine. This search engine will be more valuable to people by making these intelligent devices more user-friendly.
Before the introduction of NanoSyntax, most companies used statistical models to decode sentences, meaning that the systems learn over time to identify the users’ true intentions. But with the ability to translate normative human language into a formal computer language, this new technology will have a major impact on our interactions with computers. Advanced search engines are a good example to illustrate the advantages that NanoSyntax will provide. With previous technology, search engines were based on menus and key words. Using NanoSyntax, search engines will be able to receive real human language input and relate the ideas behind the key words, giving the system a better understanding of what the user actually needs, which allows for more accurate search results. This technology will also allow for better user-interface systems on a website, enabling users to quickly find the contents of the site that they desire. Automated customer-service programs can also be simplified, enhancing the interaction between callers and the programs, thereby making the calls more effective and less painful for users. NanoSyntax will provide application developers with a new layer of computer language comprehension, increasing the possibilities for development in games, online environments, educational software, and much more. With the bridging of this communication gap, the complexity of computer usage will be lessened, which will certainly attract many new users who were previously overwhelmed by our technologies.
Spoken and written language has been the defining characteristics of the higher learning of the human species. Language has often been a barrier between different cultures and is the greatest barrier between humans and animals and machines. The use of NLP will allow this barrier to be broken between humans and computers. Improved communication between humans and computers create an increased comfort for computers to be “user friendly.” The NanoSyntax software is the answer to difficult search engines and annoying automated systems, thus giving them the competitive advantage in this difficult market. Linguistic Agents has created a solution for a problem that has existed for over 40 years and has created a new meaning for the term universal language.
Computers learn
to parse natural human language.
Retrieved on
Introducing
Natural Language Processing. Retrieved
on
Nanosyntax
Technologies. Retrieved on
Nanosyntax-The
Magic That Makes It All Possible.
Retrieved on
Talking
Naturally. Retrieved on
Technology
Allows Computers to Decipher Human Language-File Cluster. Retrieved on
Nanosyntax: Natural Language Processing
Group 1
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1. |
What is one
thing that Nanosyntax will improve? |
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A. The improvement of the search engine results |
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B. It will not improve
anything |
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C. Will improve the
quality of the computer |
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D. None of the
above |
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2. |
What is the
technology that translates normative human language into a form of computer
language? |
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A. Linguistic Agent |
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B. Nanosyntax |
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C. Natural Language
Processing |
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D. Theoretical
Linguistic |
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1. 3.3. 2.3. |
How many
different types of understanding can be spoken by humans and be broken down? |
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A. One |
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B. Four |
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C. Two |
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D Three. |
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4. |
What
technologies was used on the old Natural Language Processing |
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A. Natural Language
Analysis |
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B. Language
Decoding |
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C. Natural Language
Software |
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D Statistical
Models. |
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5. |
How long has it
been since any upgrades have been made to the NLP system? |
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A. 50 Years |
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B. 2 decades |
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C. 15 years |
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D. 4 decades |
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6. |
What is the
companies name responsible for the Nanosyntax? |
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A. Ninosyntax |
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B. Linguistic
Agents |
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C. NLP |
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D. Inux |
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7. |
What is NLP? |
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A. Natural Learning
Prototype |
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B. Natural Linguistic
Processing |
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C. Natural Language
Processing |
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D. Natural Language
Prototype |
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