Finesentence logo

Stemmed: meaning, definitions and examples

๐ŸŒฟ
Add to dictionary

stemmed

 

[ stษ›mษ™d ]

Verb
Context #1 | Verb

linguistic processing

Stemmed refers to the process of reducing a word to its base or root form, known as a stem. This is often used in linguistic analysis, text processing, and search algorithms to improve efficiency in information retrieval. The purpose of stemming is to group different forms of a word so that they can be treated as a single term. For example, the words 'running', 'ran', and 'runner' can all be reduced to their root 'run'. Stemming is commonly used in natural language processing (NLP) applications.

Synonyms

abridged, reduced, trimmed

Examples of usage

  • The search algorithm stemmed the words for better results.
  • In the analysis, we stemmed the verbs to their basic forms.
  • The software effectively stemmed the variations of the word.
  • Linguists often stem words to study language patterns.

Translations

Translations of the word "stemmed" in other languages:

๐Ÿ‡ต๐Ÿ‡น cortado

๐Ÿ‡ฎ๐Ÿ‡ณ เค›เค‚เคŸเคพ เคนเฅเค†

๐Ÿ‡ฉ๐Ÿ‡ช gestielt

๐Ÿ‡ฎ๐Ÿ‡ฉ dipangkas

๐Ÿ‡บ๐Ÿ‡ฆ ะพะฑั€ั–ะทะฐะฝะธะน

๐Ÿ‡ต๐Ÿ‡ฑ przyciฤ™ty

๐Ÿ‡ฏ๐Ÿ‡ต ๅˆ‡ใ‚Šๅ–ใ‚‰ใ‚ŒใŸ

๐Ÿ‡ซ๐Ÿ‡ท taillรฉ

๐Ÿ‡ช๐Ÿ‡ธ recortado

๐Ÿ‡น๐Ÿ‡ท budanmฤฑลŸ

๐Ÿ‡ฐ๐Ÿ‡ท ๋‹ค๋“ฌ์–ด์ง„

๐Ÿ‡ธ๐Ÿ‡ฆ ู…ู‚ู„ู…

๐Ÿ‡จ๐Ÿ‡ฟ ostล™รญhanรฝ

๐Ÿ‡ธ๐Ÿ‡ฐ skrรกtenรฝ

๐Ÿ‡จ๐Ÿ‡ณ ไฟฎๅ‰ช็š„

๐Ÿ‡ธ๐Ÿ‡ฎ obrezan

๐Ÿ‡ฎ๐Ÿ‡ธ styttur

๐Ÿ‡ฐ๐Ÿ‡ฟ า›ั‹ั€า›ั‹ะปา“ะฐะฝ

๐Ÿ‡ฌ๐Ÿ‡ช แƒ“แƒแƒ›แƒฌแƒ•แƒ“แƒ˜แƒšแƒ˜

๐Ÿ‡ฆ๐Ÿ‡ฟ kษ™silmiลŸ

๐Ÿ‡ฒ๐Ÿ‡ฝ recortado

Word origin

The term 'stem' has its origins in the Old English word 'stemn', which means 'stalk' or 'branch'. This etymological lineage is related to the understanding of growth in both linguistic and botanical contexts. The verb form 'to stem' emerged in the late 18th century, initially related to cutting off a part or reducing something to its source. In linguistics, the concept of stemming became prominent in the 1960s and 1970s, alongside the development of computational linguistics and information retrieval systems. This period marked the transition of language study into a more systematic computational approach, where stemming algorithms were created to enhance the retrieval of information by collapsing morphological variations of words into their base forms. Today, stemming plays a crucial role in various applications, including search engines, text mining, and natural language processing, reflecting the enduring relevance of the term across both science and technology.

Word Frequency Rank

At position #13,569, this word is part of sophisticated English vocabulary. It's useful for academic or professional contexts where precise language is needed.