Morphological Analysis
State-of-the-art leaderboards
Greatest papers with code
Morphological Analyzer and Generator for Russian and Ukrainian Languages
pymorphy2 is a morphological analyzer and generator for Russian and Ukrainian languages.
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Scarcity
In this paper we describe an end to end Neural Model for Named Entity Recognition NER) which is based on Bi-Directional RNN-LSTM.
Juman++: A Morphological Analysis Toolkit for Scriptio Continua
We present a three-part toolkit for developing morphological analyzers for languages without natural word boundaries.
ART ANALYSIS LANGUAGE MODELLING MORPHOLOGICAL ANALYSIS PART-OF-SPEECH TAGGING TOKENIZATION
Neural Factor Graph Models for Cross-lingual Morphological Tagging
ACL 2018
• chaitanyamalaviya/NeuralFactorGraph
• 
Morphological analysis involves predicting the syntactic traits of a word (e. g. {POS: Noun, Case: Acc, Gender: Fem}).
Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal Dependencies
Parsing texts into universal dependencies (UD) in realistic scenarios requires infrastructure for the morphological analysis and disambiguation (MA{\&}D) of typologically different languages as a first tier.
Deep Affix Features Improve Neural Named Entity Recognizers
SEMEVAL 2018 • vikas95/Pref_Suff_Span_NN
We propose a practical model for named entity recognition (NER) that combines word and character-level information with a specific learned representation of the prefixes and suffixes of the word.
FEATURE ENGINEERING MORPHOLOGICAL ANALYSIS NAMED ENTITY RECOGNITION