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
CoNLL
Latest papers
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
In this work, we use a multilingual knowledge distillation approach to train BERT models to produce sentence embeddings for Ancient Greek text.
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes
We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks such as word segmentation, morphological tagging, dependency parsing, and compound type identification.
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
ashishgupta2598/sacti
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COLING 2022
The phenomenon of compounding is ubiquitous in Sanskrit.
AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
Second, there are no accepted tasks and benchmarks to evaluate the progress of Hebrew PLMs on.
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
nlp-uoregon/trankit
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EACL 2021
Finally, we create a demo video for Trankit at: https://youtu. be/q0KGP3zGjGc.
Tagging and parsing of multidomain collections
In this paper we describe our submission to GramEval2020 competition on morphological tagging, lemmatization and dependency parsing.
Evaluating Neural Morphological Taggers for Sanskrit
Neural sequence labelling approaches have achieved state of the art results in morphological tagging.
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.
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.
Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological Tagging
erayyildiz/Morpheus
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WS 2019
In this study, we present Morpheus, a joint contextual lemmatizer and morphological tagger.
