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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 161170 of 351 papers

TitleStatusHype
JHUBC's Submission to LT4HALA EvaLatin 20200
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging0
Attention-free encoder decoder for morphological processing0
Joint Lemmatization and Morphological Tagging with LEMMING0
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools0
A Morphological Analyzer for Shipibo-Konibo0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings0
CUNI--Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation0
Korp --- the corpus infrastructure of Spr0
Fast and Accurate Decision Trees for Natural Language Processing Tasks0
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