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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 131140 of 351 papers

TitleStatusHype
Automated Identification of Disaster News For Crisis Management Using Machine Learning0
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER0
Authorship Attribution Based on Life-Like Network Automata0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking0
CUNI--Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation0
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language0
Analyzing and Aligning German compound nouns0
Attention-free encoder decoder for morphological processing0
Cross-Language Plagiarism Detection Methods0
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