How to Lemmatize German Words with NLP-Spacy Lemmatizer?

DOI

10.2991/assehr.k.211212.036How to use a DOI?

Keywords

SpaCy; German lemmatization; lemmatize; Lemmatizer

Abstract

Simple algorithms for the lemmatization process have been developed to recognize changes in a word as a result of grammatical processes and changes. Lemmatizer tools can analyze the types of word changes in the German language. Thus, this paper aims at investigating how the lemmatization of German words is aided by the Lemmatizer software. NLP Lemmatizer spacy, in cooperation with Python and Visual Studio Code, is utilized to find out the primary form of the word changes in German language. Based on the lemmatization analysis results, Lemmatizer SpaCy can analyze the shape of token, lemma, and PoS-tag of words in German. However, there are some errors identified during the process of finding out the word changes in German language.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - M. Kharis
AU  - Kisyani
AU  - Suhartono
AU  - Udjang Pairin
AU  - Darni
PY  - 2021
DA  - 2021/12/14
TI  - How to Lemmatize German Words with NLP-Spacy Lemmatizer?
BT  - Proceedings of the International Seminar on Language, Education, and Culture (ISoLEC 2021)
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211212.036
DO  - 10.2991/assehr.k.211212.036
ID  - Kharis2021
ER  -