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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 101–125 of 351 papers

TitleStatusHype
Material Philology Meets Digital Onomastic Lexicography: The NordiCon Database of Medieval Nordic Personal Names in Continental Sources—0
Overview of the EvaLatin 2020 Evaluation Campaign—0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization—0
Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin—0
Lemmatization and POS-tagging process by using joint learning approach. Experimental results on Classical Armenian, Old Georgian, and Syriac—0
JHUBC's Submission to LT4HALA EvaLatin 2020—0
A Resource for Studying Chatino Verbal Morphology—0
Stanza: A Python Natural Language Processing Toolkit for Many Human LanguagesCode1
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural ModelsCode0
\'UFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared TaskCode0
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection—0
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared TaskCode0
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation—0
Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic—0
Unsupervised Lemmatization as Embeddings-Based Word ClusteringCode0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing—0
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging—0
Neural Lemmatization of Multiword Expressions—0
CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model—0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian—0
Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few—0
Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological TaggingCode0
Multi-Team: A Multi-attention, Multi-decoder Approach to Morphological Analysis.—0
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