Generación de Lenguaje Natural (NLG)
Lenguaje Natural Generation (NLG) is a subfield of inteligencia artificial (AI) and lingüística computacional 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.
Los sistemas de NLG utilizan algoritmos y modelos avanzados, a menudo construidos sobre técnicas de aprendizaje automático, 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.
El proceso de NLG generalmente implica varias etapas clave:
- Determinación de contenido: Deciding what information to include based on the data and the intended audience.
- Estructuración del documento: Organizing the chosen content into a coherent structure, such as paragraphs or sections.
- Lexicalización: Selecting appropriate words and phrases to express the structured information clearly and engagingly.
- Realización superficial: 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 tecnología AI 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.