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What is Lemmatization

Encyclopedia of Information Science and Technology, Fifth Edition
Is the process of reducing inflected forms of a word to its dictionary form or lemma.
Published in Chapter:
Unsupervised Automatic Keyphrases Extraction on Italian Datasets
Isabella Gagliardi (IMATI-CNR, Italy) and Maria Teresa Artese (IMATI-CNR, Italy)
Copyright: © 2021 |Pages: 20
DOI: 10.4018/978-1-7998-3479-3.ch009
Abstract
Keyword/keyphrase extraction is an important research activity in text mining, natural language processing, and information retrieval. A large number of algorithms, divided into supervised or unsupervised methods, have been designed and developed to solve the problem of automatic keyphrases extraction. The aim of the chapter is to critically discuss the unsupervised automatic keyphrases extraction algorithms, analyzing in depth their characteristics. The methods presented will be tested on different datasets, presenting in detail the data, the algorithms, and the different options tested in the runs. Moreover, most of the studies and experiments have been conducted on texts in English, while there are few experiments concerning other languages, such as Italian. Particular attention will be paid to the evaluation of the results of the methods in two different languages, English, and Italian.
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More Results
Towards a Model for Evaluating Web Retrieval Systems in Non-English Queries
Lemmatization involves the reduction of words to their respective lemmas. For example, the lemma for the words “computation” and “computer” is the word “compute”. Lemmatizers operate on single and compound terms and on phrases, while stemmers take as input single words only.
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Standardization of Terms Applying Finite-State Transducers (FST)
Algorithms for reducing a family of words to the same lemma, defined as the combination of the stem and its part-of-speech (POS) tag. This process involves linguistic techniques, such as morphological analysis through regular relations compiled in finite-state transducers.
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Amplifying Participant Voices Through Text Mining
The automatic process of reducing natural language to a common and linguistically valid root form.
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A Bibliometrics and Text Analytics Review of Games and Gamification in Education
The algorithmic process of determining the lemma of a word based on its intended meaning.
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Machine Learning in Text Analysis
A process to reduce words into its root, generally by reducing second form and third form of verb to first form, etc.
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Retrieving Non-Latin Information in a Latin Web: The Case of Greek
Lemmatization involves the reduction of words to their respective lemmas. For example, the lemma for the words “computation” and “computer” is the word “compute”. Lemmatizers operate on single and compound terms and on phrases while stemmers take as input single words only.
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Deriving Business Value From Online Data Sources Using Natural Language Processing Techniques
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