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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
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?0
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis0
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language0
An annotated English child language database0
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora0
A Comparative Study of Hybrid Models in Health Misinformation Text Classification0
Analyzing and Aligning German compound nouns0
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language0
A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper0
ACE-2005-PT: Corpus for Event Extraction in Portuguese0
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