Showing posts with label natural language. Show all posts
Showing posts with label natural language. Show all posts

Artificial Intelligence - Natural Language Generation Or NLG.


Natural Language Generation, or NLG, is the computer process by which information that cannot be easily comprehended by humans is converted into a message that is optimized for human comprehension, as well as the name of the AI area dedicated to its research and development.

In computer science and AI, the phrase "natural language" refers to what most people simply refer to as language, the mechanism by which humans interact with one another and, increasingly, with computers and robots.

Natural language is the polar opposite of "machine language," or programming language, which was created for the purpose of programming and controlling computers.

The data processed by NLG technology is some sort of data, such as scores and statistics from a sporting event, and the message created from this data may take different forms (text or voice), such as a sports game news broadcast.

The origins of NLG may be traced back to the mid-twentieth century, when computers were first introduced.

Entering data into early computers and then deciphering the results was complex, time-consuming, and needed highly specialized skills.

These difficulties with machine input and output were seen by researchers and developers as communication issues.

Communication is also essential for gaining knowledge and information, as well as exhibiting intelligence.

The answer suggested by researchers was to work toward adapting human-machine communication to the most "natural" form of communication, that is, people's own languages.

Natural Language Processing is concerned with how robots can understand human language, while Natural Language Generation is concerned with the creation of communications customized to people.

Some researchers in this field, like those working in artificial intelligence, are interested in developing systems that generate messages from data, while others are interested in studying the human process of language and message formation.

NLG is a subfield of Computational Linguistics, as well as being a branch of artificial intelligence.

The rapid expansion of NLG technologies has been facilitated by the proliferation of technology for producing, collecting, and linking enormous swaths of data, as well as advancements in processing power.

NLG has a wide range of applications in a variety of sectors, including journalism and media.

Large international and national news organizations throughout the globe have begun to use automated news-writing tools based on NLG technology into their news production.

Journalists utilize the program in this context to create informative reports from diverse datasets, such as lists of local crimes, corporate earnings reports, and synopses of athletic events.

Companies and organizations may also utilize NLG systems to create automated summaries of their own or external data.

Computational narrative and the development of automated narrative generating systems that concentrate on the production of fictitious stories and characters for use in media and entertainment, such as video games, as well as education and learning, are two related areas of study.

NLG is likely to improve further in the future, allowing future technologies to create more sophisticated and nuanced messages over a wider range of convention texts.

NLG's development and use are still in their early stages, thus it's unclear what the entire influence of NLG-based technologies will be on people, organizations, industries, and society.

Current concerns include whether NLG technologies will have a beneficial or detrimental impact on the workforce in the sectors where they are being implemented, as well as the legal and ethical ramifications of having computers rather than people generate factual and fiction.

There are also bigger philosophical questions around the connection between communication, language usage, and how humans have defined what it means to be human socially and culturally.

~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram

You may also want to read more about Artificial Intelligence here.

See also: 

Natural Language Processing and Speech Understanding; Turing Test; Work￾place Automation.

References & Further Reading:

Guzman, Andrea L. 2018. “What Is Human-Machine Communication, Anyway?” In Human-Machine Communication: Rethinking Communication, Technology, and Ourselves, edited by Andrea L. Guzman, 1–28. New York: Peter Lang.

Lewis, Seth C., Andrea L. Guzman, and Thomas R. Schmidt. 2019. “Automation, Journalism, and Human-Machine Communication: Rethinking Roles and Relationships of Humans and Machines in News.” Digital Journalism 7, no. 4: 409–27.

Licklider, J. C. R. 1968. “The Computer as Communication Device.” In In Memoriam: J. C. R. Licklider, 1915–1990, edited by Robert W. Taylor, 21–41. Palo Alto, CA: Systems Research Center.

Marconi, Francesco, Alex Siegman, and Machine Journalist. 2017. The Future of Aug￾mented Journalism: A Guide for Newsrooms in the Age of Smart Machines. New York: Associated Press.

Paris, Cecile L., William R. Swartout, and William C. Mann, eds. 1991. Natural Language Generation in Artificial Intelligence and Computational Linguistics. Norwell, MA: Kluwer Academic Publishers.

Riedl, Mark. 2017. “Computational Narrative Intelligence: Past, Present, and Future.” Medium, October 25, 2017.

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