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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 321330 of 351 papers

TitleStatusHype
Lexicon and Rule-based Word Lemmatization Approach for the Somali LanguageCode0
NLP-Cube: End-to-End Raw Text Processing With Neural NetworksCode0
Sudachi: a Japanese Tokenizer for BusinessCode0
Evaluating Shortest Edit Script Methods for Contextual LemmatizationCode0
Enhancing Sequence-to-Sequence Neural Lemmatization with External ResourcesCode0
Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large CorporaCode0
Imitation Learning for Neural Morphological String TransductionCode0
Revisiting NMT for Normalization of Early English LettersCode0
Improving Lemmatization of Non-Standard Languages with Joint LearningCode0
The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphsCode0
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