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Found 5 papers, 2 papers with code
Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological Tagging
In this study, we present Morpheus, a joint contextual lemmatizer and morphological tagger.
Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages
We contribute by proposing several schemes for representing the morphological analysis of a word in the context of named entity recognition.
Integrating Meaning into Quality Evaluation of Machine Translation
Machine translation (MT) quality is evaluated through comparisons between MT outputs and the human translations (HT).
A Morphology-aware Network for Morphological Disambiguation
In this paper, we propose a system that uses deep learning techniques for morphological disambiguation.
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers
Turkish Wikipedia Named-Entity Recognition and Text Categorization (TWNERTC) dataset is a collection of automatically categorized and annotated sentences obtained from Wikipedia.
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