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natural language generation (NLG)

Natural Language Generation (NLG) is the branch of artificial intelligence that focuses on generating natural language text or speech from a data source. It involves the use of AI programming to transform structured data into human-readable and contextually relevant narratives. NLG is a critical component of the broader field of Natural Language Processing (NLP), which also includes Natural Language Understanding (NLU).


The process of NLG can be broken down into several stages:


  1. Content analysis: Filtering and determining the relevant data to be included in the final content.
  2. Data understanding: Interpreting the data, identifying patterns, and putting it into context, often using machine learning techniques.
  3. Document structuring: Creating a document plan and choosing a narrative structure based on the type of data.
  4. Sentence aggregation: Combining relevant sentences or parts of sentences to accurately summarize the topic.
  5. Grammatical structuring: Applying grammatical rules to generate natural-sounding text.
  6. Language presentation: Producing the final output based on a selected template or format[1].


NLG is used in various applications, such as:


  1. Generating responses for chatbots and voice assistants like Google’s Alexa and Apple’s Siri.
  2. Converting complex data, like financial reports, into easily understood narratives.
  3. Automating content generation for emails, messaging, and customer service scripts.
  4. Summarizing news reports and creating product descriptions for e-commerce websites[1][2].


NLG technologies can range from basic systems that generate simple sentences from data points to advanced solutions that use machine learning and deep learning to create narratives with a clear beginning, middle, and end. These advanced systems are capable of learning lexical, morphological, and grammatical patterns from large corpora of text to generate more sophisticated and varied language outputs[2].


NLG is closely related to NLU and information retrieval, as well as to text summarization, speech generation, and machine translation. While NLU is about understanding the meaning of text or speech, NLG is about creating text or speech from data inputs. Together, they enable applications like chatbots and email clients to understand user inputs and generate appropriate responses[1][6].


See also: natural language understanding (NLU), natural language processing (NLP)


Citations:

[1] https://www.techtarget.com/searchenterpriseai/definition/natural-language-generation-NLG

[2] https://www.analyticssteps.com/blogs/natural-language-generation-nlg-types-working-and-applications

[3] https://lexoro.ai/technology/natural-language-generation/

[4] https://ehudreiter.com/2022/01/26/problems-with-rule-based-nlg/

[5] https://www.linkedin.com/pulse/natural-language-generation-nlg-market-trends-z6vwf

[6] https://en.wikipedia.org/wiki/Natural_language_generation

[7] https://www.qualtrics.com/experience-management/customer/natural-language-generation/

[8] https://www.yellowfinbi.com/blog/what-is-natural-language-generation

[9] https://aclanthology.org/W18-6556

[10] https://www.narrativa.com/the-future-is-nlg-why-there-are-more-and-more-language-ai-companies/

[11] https://www.marketingaiinstitute.com/blog/the-beginners-guide-to-using-natural-language-generation-to-scale-content-marketing

[12] https://deepgram.com/ai-glossary/natural-language-generation

[13] https://research.aimultiple.com/nlg/

[14] https://arxiv.org/abs/2402.01383

[15] https://www.marketsandmarkets.com/Market-Reports/natural-language-generation-market-14328817.html

[16] https://www.aidataanalytics.network/data-science-ai/articles/what-is-natural-language-generation

[17] https://www.bbntimes.com/technology/3-popular-applications-of-natural-language-generation

[18] https://arxiv.org/abs/1911.08794

[19] https://www.verifiedmarketresearch.com/product/natural-language-generation-nlg-market/

[20] https://www.geeksforgeeks.org/artificial-intelligence-natural-language-generation/

[21] https://www.spiceworks.com/collaboration/content-collaboration/guest-article/the-future-of-content-generation-the-rise-of-nlg/amp/

[22] https://builtin.com/artificial-intelligence/what-is-natural-language-generation

[23] https://www.lxahub.com/stories/what-is-natural-language-generation-and-is-it-the-future-of-content

[24] https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-nlg/amp/

[25] https://www.narrativa.com/5-trends-in-nlp-and-nlg-for-2023/

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