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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

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Showing 126–150 of 351 papers

TitleStatusHype
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages—0
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity—0
A Morphologically Annotated Corpus of Emirati Arabic—0
Improving Neural Translation Models with Linguistic Factors—0
A Publicly Available Cross-Platform Lemmatizer for Bulgarian—0
FOLK-Gold ― A Gold Standard for Part-of-Speech-Tagging of Spoken German—0
An NLP Pipeline for Coptic—0
First Steps towards the Semi-automatic Development of a Wordformation-based Lexicon of Latin—0
Few-Shot and Zero-Shot Learning for Historical Text Normalization—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
Comparison of Current Approaches to Lemmatization: A Case Study 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
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task—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
How low is too low? A monolingual take on lemmatisation in Indian languages—0
Chimera -- Three Heads for English-to-Czech Translation—0
A Morphological Analyzer for Shipibo-Konibo—0
Illinois-LH: A Denotational and Distributional Approach to Semantics—0
Context Sensitive Neural Lemmatization with Lematus—0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings—0
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