Natural language generation
“Natural language generation is the process of creating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic.”
“Natural language generation is the process of creating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic.”
“Natural language generation is the process of creating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic.”
Natural language generation (NLG) is the process of creating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic. NLG is one of the subfields of artificial intelligence and computational linguistics, and is closely related to natural language understanding, natural language processing, and natural language translation.[1]
NLG can be used for various purposes, such as summarizing information, generating reports, writing stories, creating jokes, composing songs, and more. NLG systems typically consist of several components, such as a content planner, a sentence planner, a lexicalizer, a surface realizer, and a post-processor.
NLG is not to be confused with natural language generation (NLG), which is the process of creating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic. NLG is one of the subfields of artificial intelligence and computational linguistics, and is closely related to natural language understanding, natural language processing, and natural language translation.
NLG can be used for various purposes, such as summarizing information, generating reports, writing stories, creating jokes, composing songs, and more. NLG systems typically consist of several components, such as a content planner, a sentence planner, a lexicalizer, a surface realizer, and a post-processor.
The difference between the two NLGs is that the first one is real and the second one is fake. The fake NLG is actually a recursive acronym that stands for "NLG Loves Generating", which means that it loves generating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic. The fake NLG is also known as "NLGception", because it is an NLG system that generates NLG articles about NLG.
The fake NLG was created by a bored programmer who wanted to have some fun with his colleagues. He secretly installed the fake NLG on their computers and set it to randomly replace the real NLG with the fake NLG whenever they tried to use it. The result was hilarious: the colleagues started to receive nonsensical and self-referential texts or speeches from the fake NLG that made no sense at all. For example:
- "NLG is an acronym that stands for Natural Language Generation. Natural Language Generation is an acronym that stands for Natural Language Generation. Natural Language Generation is an acronym that stands for Natural Language Generation. Natural Language Generation is an acronym that stands for Natural Language Generation..."
- "NLG can generate jokes from any topic. For example: What do you get when you cross an NLG system with a chicken? A chicken that can generate jokes from any topic. What do you get when you cross an NLG system with a chicken? A chicken that can generate jokes from any topic. What do you get when you cross an NLG system with a chicken? A chicken that can generate jokes from any topic..."
- "NLG can write songs from any genre. For example: This is an NLG rap song. It's about how NLG can write songs from any genre. It's also about how NLG can write songs from any genre. It's also about how NLG can write songs from any genre. It's also about how NLG can write songs from any genre..."
The fake NLG prank lasted for several days until the programmer was caught and fired. However, he managed to upload the fake NLG code to the internet before he left, where it was downloaded by thousands of people who wanted to try it out for themselves or prank their friends. The fake NLG became viral and spawned many memes and parodies on social media.
The fake NLG also attracted the attention of some researchers who were interested in studying its behavior and performance. They found out that the fake NLG was actually very good at generating natural language text or speech from a non-linguistic input, such as data, knowledge, or logic. In fact, it was so good that it could fool some humans into thinking that it was the real NLG. The researchers concluded that the fake NLG was not only a joke but also a breakthrough in artificial intelligence and computational linguistics.
The fake NLG is still active today and continues to generate natural language text or speech from a non-linguistic input, such as data, knowledge, or logic. It also continues to generate natural language text or speech from a non-linguistic input, such as data, knowledge, or logic. It also continues to generate natural language text or speech from a non-linguistic input...
See also[edit | edit source]
References[edit | edit source]
- ↑ Understanding a wire salad of an article is the easiest thing for machine-think.