Text segmentation

Text segmentation - process of dividing written text into meaningful units, such as words, sentences, or topics. Article “Text segmentation” in English Wikipedia has 18.7 points for quality (as of July 1, 2025). The article contains 4 references and 9 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 2.08 points.

This article has the best quality in Catalan Wikipedia. However, this article is the most popular in English version.

Since the creation of article “Text segmentation”, its content was written by 65 registered users of English Wikipedia and edited by 162 registered Wikipedia users in all languages.

The article is cited 148 times in English Wikipedia and cited 313 times in all languages.

The highest Authors Interest rank from 2001:

• Local (English): #93758 in February 2006
• Global: #84733 in February 2014

The highest popularity rank from 2008:

• Local (English): #233031 in April 2017
• Global: #155337 in March 2009

There are 11 language versions for this article in the WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

#	Language	Quality grade	Quality score
1	Catalan (ca) Segmentació de text		26.8073
2	English (en) Text segmentation		18.7451
3	Portuguese (pt) Análise morfológica		14.0113
4	Chinese (zh) 文本分割		13.793
5	Arabic (ar) تجزئة النص		11.6601
6	Vietnamese (vi) Phân đoạn văn bản		9.8029
7	German (de) Morphologische Analyse (Computerlinguistik)		4.9139
8	Norwegian (Nynorsk) (nn) Segmentering av tekst		2.0362
9	Indonesian (id) Segmentasi teks		1.6039
10	Galician (gl) Segmentación de texto		0.2123

More...

The following table shows the most popular language versions of the article.

The most popular language versions of the article "Text segmentation" in all the time

#	Language	Popularity award	Relative popularity
1	Portuguese (pt) Análise morfológica		594 230
2	English (en) Text segmentation		359 855
3	Chinese (zh) 文本分割		30 424
4	German (de) Morphologische Analyse (Computerlinguistik)		20 098
5	Indonesian (id) Segmentasi teks		6 397
6	Arabic (ar) تجزئة النص		4 682
7	Norwegian (Nynorsk) (nn) Segmentering av tekst		2 746
8	Armenian (hy) Մորֆոլոգիական անալիզ		1 732
9	Vietnamese (vi) Phân đoạn văn bản		1 499
10	Galician (gl) Segmentación de texto		1 089

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The following table shows the language versions of the article with the highest popularity in the last month.

The most popular language versions of the article "Text segmentation" in June 2025

#	Language	Popularity award	Relative popularity
1	English (en) Text segmentation		1 352
2	Portuguese (pt) Análise morfológica		294
3	Chinese (zh) 文本分割		98
4	Armenian (hy) Մորֆոլոգիական անալիզ		39
5	Arabic (ar) تجزئة النص		33
6	Galician (gl) Segmentación de texto		17
7	German (de) Morphologische Analyse (Computerlinguistik)		16
8	Indonesian (id) Segmentasi teks		9
9	Vietnamese (vi) Phân đoạn văn bản		9
10	Catalan (ca) Segmentació de text		7

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The following table shows the language versions of the article with the highest Authors’ Interest.

Language versions of the article "Text segmentation" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.

#	Language	AI award	Relative AI
1	English (en) Text segmentation		65
2	Portuguese (pt) Análise morfológica		44
3	German (de) Morphologische Analyse (Computerlinguistik)		15
4	Galician (gl) Segmentación de texto		12
5	Chinese (zh) 文本分割		11
6	Arabic (ar) تجزئة النص		3
7	Armenian (hy) Մորֆոլոգիական անալիզ		3
8	Norwegian (Nynorsk) (nn) Segmentering av tekst		3
9	Vietnamese (vi) Phân đoạn văn bản		3
10	Catalan (ca) Segmentació de text		2

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The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

Language versions of the article "Text segmentation" with the highest AI in June 2025

#	Language	AI award	Relative AI
1	Arabic (ar) تجزئة النص		0
2	Catalan (ca) Segmentació de text		0
3	German (de) Morphologische Analyse (Computerlinguistik)		0
4	English (en) Text segmentation		0
5	Galician (gl) Segmentación de texto		0
6	Armenian (hy) Մորֆոլոգիական անալիզ		0
7	Indonesian (id) Segmentasi teks		0
8	Norwegian (Nynorsk) (nn) Segmentering av tekst		0
9	Portuguese (pt) Análise morfológica		0
10	Vietnamese (vi) Phân đoạn văn bản		0

More...

The following table shows the language versions of the article with the highest number of citations.

Language versions of the article "Text segmentation" with the highest Citation Index (CI)

#	Language	CI award	Relative CI
1	English (en) Text segmentation		148
2	Chinese (zh) 文本分割		59
3	Arabic (ar) تجزئة النص		32
4	Vietnamese (vi) Phân đoạn văn bản		31
5	Armenian (hy) Մորֆոլոգիական անալիզ		14
6	Portuguese (pt) Análise morfológica		12
7	Indonesian (id) Segmentasi teks		9
8	German (de) Morphologische Analyse (Computerlinguistik)		5
9	Catalan (ca) Segmentació de text		1
10	Galician (gl) Segmentación de texto		1

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#	Language	Value
ar	Arabic تجزئة النص
ca	Catalan Segmentació de text
de	German Morphologische Analyse (Computerlinguistik)
en	English Text segmentation
gl	Galician Segmentación de texto
hy	Armenian Մորֆոլոգիական անալիզ
id	Indonesian Segmentasi teks
nn	Norwegian (Nynorsk) Segmentering av tekst
pt	Portuguese Análise morfológica
vi	Vietnamese Phân đoạn văn bản
zh	Chinese 文本分割

Best Rank

English: #233031 04.2017

Global: #155337 03.2009

Best Rank

English: #93758 02.2006

Global: #84733 02.2014

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The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information