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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 311320 of 351 papers

TitleStatusHype
ANNLOR: A Na\" Notation-system for Lexical Outputs Ranking0
An NLP Pipeline for Coptic0
A Publicly Available Cross-Platform Lemmatizer for Bulgarian0
Arabic Word-level Readability Visualization for Assisted Text Simplification0
A Resource for Studying Chatino Verbal Morphology0
A set of open source tools for Turkish natural language processing0
A Simple Joint Model for Improved Contextual Neural Lemmatization0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity0
Attention-free encoder decoder for morphological processing0
A unified lexical processing framework based on the Margin Infused Relaxed Algorithm. A case study on the Romanian Language0
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