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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
Context Sensitive Neural Lemmatization with Lematus0
Illinois-LH: A Denotational and Distributional Approach to Semantics0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
A Simple Joint Model for Improved Contextual Neural Lemmatization0
KLUE-CORE: A regression model of semantic textual similarity0
How low is too low? A monolingual take on lemmatisation in Indian languages0
Korp --- the corpus infrastructure of Spr0
Context based lemmatizer for Polish language0
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