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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 261270 of 351 papers

TitleStatusHype
Polish Coreference Corpus in Numbers0
POS tagging, lemmatization and dependency parsing of West Frisian0
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time0
Probabilistic Lexical Generalization for French Dependency Parsing0
Processing and Normalizing Hashtags0
Producing Corpora of Medieval and Premodern Occitan0
PurePos 2.0: a hybrid tool for morphological disambiguation0
QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings0
RACAI's Natural Language Processing pipeline for Universal Dependencies0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT0
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