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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 151160 of 351 papers

TitleStatusHype
CoRoLa --- The Reference Corpus of Contemporary Romanian Language0
Improving Neural Translation Models with Linguistic Factors0
Coreference Resolution in FreeLing 4.00
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity0
Analysing cross-lingual transfer in lemmatisation for Indian languages0
Impact of Feature Selection on Micro-Text Classification0
Context Sensitive Neural Lemmatization with Lematus0
Iula2Standoff: a tool for creating standoff documents for the IULACT0
Illinois-LH: A Denotational and Distributional Approach to Semantics0
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks0
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