Natürliche Sprachgenerierung (NLG)
Natürliche Sprache Generation (NLG) is a subfield of künstliche Intelligenz (AI) and der computergestützten Sprachwissenschaft focused on creating natural language text from structured data. NLG processes the input data and generates coherent and contextually relevant narratives, reports, or summaries in human language.
NLG-Systeme nutzen fortschrittliche Algorithmen und Modelle, die oft auf Techniken des maschinellen Lernens, to analyze data sources such as databases, spreadsheets, or even complex API inputs. They can produce text in various forms, including articles, product descriptions, and personalized communications.
Der NLG-Prozess umfasst typischerweise mehrere wichtige Phasen:
- Inhaltsbestimmung: Deciding what information to include based on the data and the intended audience.
- Dokumentenstrukturierung: Organizing the chosen content into a coherent structure, such as paragraphs or sections.
- Lexikalisierung: Selecting appropriate words and phrases to express the structured information clearly and engagingly.
- Oberflächenrealisation: Generating the final text output in a grammatically correct and stylistically appropriate manner.
NLG is used in various applications, such as generating automated reports in finance, creating personalized content for marketing, or even assisting in storytelling and creative writing. As KI-Technologie continues to evolve, NLG systems are becoming more sophisticated, enabling them to produce text that closely mimics human writing styles and adapts to different contexts.