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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 181190 of 351 papers

TitleStatusHype
SentiArabic: A Sentiment Analyzer for Standard Arabic0
Sudachi: a Japanese Tokenizer for BusinessCode0
Automatic Categorization of Tagalog Documents Using Support Vector Machines0
Build Fast and Accurate Lemmatization for Arabic0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain0
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary0
Fast and Accurate Decision Trees for Natural Language Processing Tasks0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids0
An Extensible Multilingual Open Source Lemmatizer0
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