text segmentation

Process of dividing written text into meaningful units, such as words, sentences, or topics

EntityQ1948408

Also known as Chinese word segmentation

Subclass of: natural language processing

Overview

From Wikipedia, the free encyclopedia · Read full article · Text CC BY-SA 4.0

Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing. The problem is non-trivial, because while some written languages have explicit word boundary markers, such as the word spaces of written English and the distinctive initial, medial and final letter shapes of Arabic, such signals are sometimes ambiguous and not present in all written languages.

Overview

All data

11 statements · 18% with external sources · numbers in brackets are citations

Studied by: natural language processing
Uses: sentiment analysis
Q11702366
morphological analysis
sentence boundary disambiguation subject named as: sentence boundaries
Has use: discourse analysis

On other databases

5 identifiers linking text segmentation across the web's reference databases

Data quality

statements

18%

externally sourced

Source last edited February 17, 2026. AIDB refreshes this page daily.

Suggest a fact or correction

Links

Use this data

curl https://aidb.si/api/v1/entities/Q1948408

API docs, limits & keys

Cite this page

AIDB. (2026). text segmentation (Q1948408). Retrieved from https://aidb.si/e/text-segmentation-Q1948408