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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 281290 of 351 papers

TitleStatusHype
Word-Formation Network for Czech0
Two-Step Machine Translation with Lattices0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian0
A set of open source tools for Turkish natural language processing0
Polish Coreference Corpus in Numbers0
An efficient language independent toolkit for complete morphological disambiguation0
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage0
Optimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality0
Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature0
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