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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 91100 of 351 papers

TitleStatusHype
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task0
Tagging and parsing of multidomain collectionsCode0
UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings0
The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphsCode0
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddingsCode0
Neural Polysynthetic Language Modelling0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment0
BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian0
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