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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 151160 of 351 papers

TitleStatusHype
A Morphological Analyzer for Shipibo-Konibo0
Improving Neural Translation Models with Linguistic Factors0
Improving the Morphological Analysis of Classical Sanskrit0
Indexation libre et contr\^ol\'ee d'articles scientifiques. Pr\'esentation et r\'esultats du d\'efi fouille de textes DEFT2012 (Controlled and free indexing of scientific papers. Presentation and results of the DEFT2012 text-mining challenge) [in French]0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian0
Counting What Counts: Decompounding for Keyphrase Extraction0
Iula2Standoff: a tool for creating standoff documents for the IULACT0
IWNLP: Inverse Wiktionary for Natural Language Processing0
Fast and Accurate Decision Trees for Natural Language Processing Tasks0
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