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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
Authorship Attribution Based on Life-Like Network Automata0
Automated Identification of Disaster News For Crisis Management Using Machine Learning0
Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis0
Automatic Categorization of Tagalog Documents Using Support Vector Machines0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature0
Automatic Translation of English Text to Indian Sign Language Synthetic Animations0
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment0
Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies0
BioRo: The Biomedical Corpus for the Romanian Language0
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