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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 291300 of 351 papers

TitleStatusHype
The SETimes.HR Linguistically Annotated Corpus of Croatian0
The SYN-series corpora of written Czech0
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian0
Using Resource-Rich Languages to Improve Morphological Analysis of Under-Resourced Languages0
CroDeriV: a new resource for processing Croatian morphology0
Polish Coreference Corpus in Numbers0
Facilitating Multi-Lingual Sense Annotation: Human Mediated Lemmatizer0
The Effects of Syntactic Features in Automatic Prediction of Morphology0
PurePos 2.0: a hybrid tool for morphological disambiguation0
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