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Lemmatization

Lemmatization is a process of determining a base or dictionary form (lemma) for a given surface form. Especially for languages with rich morphology it is important to be able to normalize words into their base forms to better support for example search engines and linguistic studies. Main difficulties in Lemmatization arise from encountering previously unseen words during inference time as well as disambiguating ambiguous surface forms which can be inflected variants of several different base forms depending on the context.

Source: Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks

Papers

Showing 3140 of 351 papers

TitleStatusHype
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian0
TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages0
Cross-lingual Named Entity Corpus for Slavic LanguagesCode0
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus0
Evaluating Shortest Edit Script Methods for Contextual LemmatizationCode0
BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla LemmatizerCode0
The effect of stemming and lemmatization on Portuguese fake news text classification0
Lexicon and Rule-based Word Lemmatization Approach for the Somali LanguageCode0
Vacaspati: A Diverse Corpus of Bangla Literature0
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora0
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