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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 8190 of 351 papers

TitleStatusHype
The Role of Interpretable Patterns in Deep Learning for MorphologyCode0
Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing0
Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models0
Analysing cross-lingual transfer in lemmatisation for Indian languages0
KLPT – Kurdish Language Processing ToolkitCode1
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking0
TopicModel4J: A Java Package for Topic ModelsCode1
LemMED: Fast and Effective Neural Morphological Analysis with Short Context Windows0
Top2Vec: Distributed Representations of TopicsCode2
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
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