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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 181–190 of 351 papers

TitleStatusHype
First Steps towards the Semi-automatic Development of a Wordformation-based Lexicon of Latin—0
FOLK-Gold ― A Gold Standard for Part-of-Speech-Tagging of Spoken German—0
Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style—0
Generating a Gold Standard for a Swedish Sentiment Lexicon—0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
Handling Unknown Words in Arabic FST Morphology—0
Harmonizing Different Lemmatization Strategies for Building a Knowledge Base of Linguistic Resources for Latin—0
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity—0
Holaaa!! writin like u talk is kewl but kinda hard 4 NLP—0
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