Essentials Of Natural Language Generation Training Ppt

Slide 1

This slide gives an overview of Natural Language Generation (NLG). Artificial Intelligence (AI) programming is used to generate written or spoken narratives from a data collection. NLG is associated with human-to-machine and machine-to-human interaction, as well as computational linguistics, natural language processing (NLP), and natural language understanding (NLU).

Slide 2

This slide states that NLG is a multi-stage process in which the data used to generate content with natural-sounding language is refined progressively at each level.

Instructor Notes: 

• Analyzing the content: Data is screened to determine what should be incorporated into the final output of the process. This stage entails determining the primary themes and linkages in the original document
• Data comprehension: The data is evaluated, patterns are discovered, and placed in context. At this point, Machine Learning is frequently applied
• Document organizing: Based on the data being analyzed, a documented plan is constructed, and a narrative framework is established
• Sentence aggregation: Relevant sentences or sections of sentences are blended to provide an accurate summary of the issue
• Grammatical structure: To create natural-sounding writing, grammatical rules are employed. The software determines the sentence's syntactical structure, and this information is then used to rephrase the statement in a grammatically accurate manner
• Presentation of language: The final output is created depending on the template or the chosen by the user or programmer

Slide 3

This slide describes that Natural Language Generation (NLG) is being used in various applications such as creating chatbots and voice assistant answers like Google's Alexa and Apple's Siri. Turning financial reports and other corporate data into content that workers and consumers can understand. Lead nurturing email, SMS, and chat answers may be automated.

Slide 4

This slide lists applications of Natural Language Generation (NLG), such as creating and customizing scripts for customer service personnel, news report aggregation and summarization. Providing status updates for the internet of things devices; and creating product descriptions for e-commerce websites as well as customer communications.

Slide 5

This slide states advantages of Natural Language Generation (NLG), such as consistently high-quality content, enhanced content creation, topical coverage that would be unprofitable otherwise, allows human energy to focus high-value tasks, and scalable personalization.