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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 211220 of 351 papers

TitleStatusHype
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages0
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text0
Spelling Correction for Morphologically Rich Language: a Case Study of Russian0
Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications0
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?0
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer0
Improving the Morphological Analysis of Classical Sanskrit0
Improving Neural Translation Models with Linguistic Factors0
The Power of Language Music: Arabic Lemmatization through Patterns0
ENIAM: Categorial Syntactic-Semantic Parser for Polish0
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