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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 111120 of 351 papers

TitleStatusHype
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection0
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared TaskCode0
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER0
To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation0
Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic0
Unsupervised Lemmatization as Embeddings-Based Word ClusteringCode0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing0
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging0
CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model0
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