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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
Lexical Categories for Improved Parsing of Web Data0
Enhancing Lemmatization for Mongolian and its Application to Statistical Machine Translation0
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text SummarizationCode0
WSD for n-best reranking and local language modeling in SMT0
Statistical Parsing of Spanish and Data Driven Lemmatization0
Handling Unknown Words in Arabic FST Morphology0
SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media0
CELI: An Experiment with Cross Language Textual Entailment0
Probabilistic Lexical Generalization for French Dependency Parsing0
ANNLOR: A Na\" Notation-system for Lexical Outputs Ranking0
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