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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 171180 of 351 papers

TitleStatusHype
Word-Formation Network for Czech0
WSD for n-best reranking and local language modeling in SMT0
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer0
ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus0
Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages0
Facilitating Multi-Lingual Sense Annotation: Human Mediated Lemmatizer0
Factored Machine Translation Systems for Russian-English0
Fast and Accurate Decision Trees for Natural Language Processing Tasks0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings0
Few-Shot and Zero-Shot Learning for Historical Text Normalization0
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