# text simplification

> automated process

**Wikidata**: [Q3484781](https://www.wikidata.org/wiki/Q3484781)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Text_simplification)  
**Source**: https://4ort.xyz/entity/text-simplification

## Summary
Text simplification is an automated process within the field of natural language processing (NLP). As a sub-discipline of computer science and linguistics, its primary function is to automatically modify text to make it easier to read and understand.

## Key Facts
- **Primary Function:** It is defined as an automated process.
- **Classification:** Text simplification is a subclass and facet of natural language processing.
- **Parent Field:** It belongs to natural language processing, a field of computer science and linguistics.
- **Wikipedia Presence:** The entity has a Wikipedia page titled "Text simplification" available in 6 languages: English, French, Hebrew, Ukrainian, Vietnamese, and Cantonese.
- **Aliases:** It is also known as 文本简化, 文字簡化, and симплификация текста.
- **GitLab Topic ID:** Its topic ID on GitLab is `text+simplification`.
- **Freebase ID:** The entity's ID in the discontinued Freebase knowledge graph was `/m/026d897`.

## FAQs
### Q: What is text simplification?
A: Text simplification is an automated process in the field of natural language processing. It uses computational methods to revise text, making it simpler and more accessible for readers to comprehend.

### Q: What field of study includes text simplification?
A: Text simplification is a part of natural language processing (NLP), which is an interdisciplinary field of computer science and linguistics focused on enabling computers to process and understand human language.

### Q: Is text simplification known by other names in different languages?
A: Yes, it has several aliases, including "文本简化" and "文字簡化" in Chinese, and "симплификация текста" in Russian.

## Why It Matters
Text simplification's significance lies in its role as a practical application of natural language processing that directly addresses information accessibility. As an automated process, it provides a scalable solution for transforming complex documents into more readable versions without manual human effort. This capability is a core challenge within the broader fields of computer science and linguistics, demonstrating how computational models can manipulate language to improve communication. By focusing on reducing linguistic complexity, text simplification serves as a foundational technology for tools aimed at a wide range of users, bridging the gap between complex source material and the need for clear, understandable information. Its existence as a recognized sub-field highlights the growing importance of making digital content universally accessible.

## Notable For
- **Automated Function:** Its defining characteristic is being an automated process, distinguishing it from manual editing or summarization techniques that may require human intervention.
- **Specific NLP Sub-field:** It is formally recognized as a subclass and facet of natural language processing, giving it a distinct identity within the larger domain of computational linguistics.
- **Multilingual Recognition:** The concept is recognized globally, with established aliases in languages like Chinese and Russian and dedicated Wikipedia entries in six different languages.

## Body
### Classification and Domain
Text simplification is a component of natural language processing (NLP). The source material classifies it as both a `subclass_of` and a `facet_of` NLP. NLP itself is a field at the intersection of computer science and linguistics, concerned with the interactions between computers and human language.

### Digital Identity and Identifiers
The entity is tracked across various platforms and knowledge bases with unique identifiers:
- **Freebase ID:** `/m/026d897`
- **GitLab Topic ID:** `text+simplification`
- **Microsoft Academic ID (discontinued):** `59415355`

### International Presence
The concept of text simplification is recognized in multiple languages, indicating its global relevance in research and application.
- **Aliases:**
  - 文本简化 (Chinese)
  - 文字簡化 (Chinese)
  - симплификация текста (Russian)
- **Wikipedia Languages:** The topic has a dedicated article on 6 language-specific versions of Wikipedia:
  - English (`en`)
  - French (`fr`)
  - Hebrew (`he`)
  - Ukrainian (`uk`)
  - Vietnamese (`vi`)
  - Cantonese (`zh_yue`)

## References

1. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)