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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 251260 of 351 papers

TitleStatusHype
Towards error annotation in a learner corpus of Portuguese0
Towards Semantic Validation of a Derivational Lexicon0
Towards the Creation of a Diachronic Corpus for Italian: A Case Study on the GDLI Quotations0
Transformer-based Part-of-Speech Tagging and Lemmatization for Latin0
TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations0
Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task0
Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task0
Two-Step Machine Translation with Lattices0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification0
UBC\_UOS-TYPED: Regression for typed-similarity0
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