Morphological Tagging
23 papers with code • 0 benchmarks • 4 datasets
Morphological tagging is the task of assigning labels to a sequence of tokens that describe them morphologically. As compared to Part-of-speech tagging, morphological tagging also considers morphological features, such as case, gender or the tense of verbs.
Benchmarks
These leaderboards are used to track progress in Morphological Tagging
Datasets
Most implemented papers
Modeling Composite Labels for Neural Morphological Tagging
Neural morphological tagging has been regarded as an extension to POS tagging task, treating each morphological tag as a monolithic label and ignoring its internal structure.
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction
The ambiguities introduced by the recombination of morphemes constructing several possible inflections for a word makes the prediction of syntactic traits in Morphologically Rich Languages (MRLs) a notoriously complicated task.
Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation
In this work, we intrinsically and extrinsically evaluate and compare existing word embedding models for the Armenian language.
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.
Inforex --- a Collaborative Systemfor Text Corpora Annotation and Analysis Goes Open
In the paper we present the latest changes introduce to Inforex {---} a web-based system for qualitative and collaborative text corpora annotation and analysis.
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
In this paper, we present the first publicly available part-of-speech and morphologically tagged corpus for the Albanian language, as well as a neural morphological tagger and lemmatizer trained on it.
Evaluating Neural Morphological Taggers for Sanskrit
Neural sequence labelling approaches have achieved state of the art results in morphological tagging.
Tagging and parsing of multidomain collections
In this paper we describe our submission to GramEval2020 competition on morphological tagging, lemmatization and dependency parsing.
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
Finally, we create a demo video for Trankit at: https://youtu. be/q0KGP3zGjGc.
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
The phenomenon of compounding is ubiquitous in Sanskrit.