https://arshadhs.github.io/tags/natural-language-generation/Recent content in Natural Language Generation on Arshad SiddiquiHugoen-ushttps://arshadhs.github.io/docs/ai/050-nlp/010-natural-language-understanding-and-generation/Mon, 01 Jan 0001 00:00:00 +0000https://arshadhs.github.io/docs/ai/050-nlp/010-natural-language-understanding-and-generation/<h1 id="nlp---understanding-and-generation"> NLP - Understanding and Generation <a class="anchor" href="#nlp---understanding-and-generation">#</a> </h1> <ul> <li>The Study of Language.</li> <li>Applications of Natural Language Understanding.</li> <li>Evaluating Language Understanding Systems.</li> <li>Different Levels of Language Analysis.</li> <li>Organisation of Natural Language Understanding Systems.</li> </ul> <h2 id="learning-objectives"> Learning Objectives <a class="anchor" href="#learning-objectives">#</a> </h2> <ul> <li>Explain what Natural Language Processing studies and how it relates to artificial intelligence and linguistics.</li> <li>Describe why human language is difficult for computers to process.</li> <li>Recognise the main applications and stages of an NLP pipeline.</li> <li>Distinguish morphological, lexical, syntactic, semantic, pragmatic, and discourse analysis.</li> <li>Explain the relationship between natural language understanding and natural language generation.</li> <li>Identify suitable ways to evaluate different NLP systems.</li> </ul> <!-- ## Map | Section | Topic | Status | |---|---|---| | 1 | What Is Natural Language Processing? | 2 | Why NLP Matters | 3 | Evolution of NLP | 4 | NLP Applications | 5 | The NLP Pipeline | 6 | Ambiguity and Why NLP Is Difficult | 7 | Levels of Language Analysis | 8 | Natural Language Understanding and Generation | 9 | Evaluating NLP Systems --> <h2 id="big-picture"> Big Picture <a class="anchor" href="#big-picture">#</a> </h2> <pre class="mermaid">flowchart TD A[Human Language] --&gt; B[Acquire and Prepare Text or Speech] B --&gt; C[Analyse Language Structure] C --&gt; D[Represent Meaning and Context] D --&gt; E[Model or Reason] E --&gt; F[Understand, Predict or Generate] F --&gt; G[Evaluate and Improve] style A fill:#E1F5FE style B fill:#C8E6C9 style C fill:#FFF9C4 style D fill:#EDE7F6 style E fill:#E1F5FE style F fill:#C8E6C9 style G fill:#FFF9C4</pre> <h2 id="1-what-is-natural-language-processing-"> 1. What Is Natural Language Processing? ☆ <a class="anchor" href="#1-what-is-natural-language-processing-">#</a> </h2> <p>Natural language processing (NLP) is the discipline of building machines that can manipulate human language - or data that resembles human language - in the way that it is written, spoken, and organised.</p>