Morphological Analysis
61 papers with code • 0 benchmarks • 5 datasets
Morphological Analysis is a central task in language processing that can take a word as input and detect the various morphological entities in the word and provide a morphological representation of it.
Benchmarks
These leaderboards are used to track progress in Morphological Analysis
CELEX
Polyglot-NER
Latest papers with no code
Sex Detection in the Early Stage of Fertilized Chicken Eggs via Image Recognition
Detection from blood vessels can eliminate ethical issues, and these vessels can be seen when light is shined into the egg until the first seven days.
Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All
We perform a contrastive analysis of this model against all previous Hebrew PLMs (mBERT, heBERT, AlephBERT) and assess the effects of larger vocabularies on task performance.
D-CryptO: Deep learning-based analysis of colon organoid morphology from brightfield images
With D-CryptO, subtle variations in how colon organoids responded to the different chemotherapeutic drugs were detected, which suggest potentially distinct mechanisms of action.
The Open corpus of the Veps and Karelian languages: overview and applications
The VepKar corpus comprises texts in Karelian and Veps, multifunctional dictionaries linked to them, and software with an advanced system of search using various criteria of the texts (language, genre, etc.)
Universal Dependency Treebank for Odia Language
This paper presents the first publicly available treebank of Odia, a morphologically rich low resource Indian language.
Uzbek affix finite state machine for stemming
This work presents a morphological analyzer for the Uzbek language using a finite state machine.
Controlling Extra-Textual Attributes about Dialogue Participants -- A Case Study of English-to-Polish Neural Machine Translation
We focus on the underresearched problem of utilising external metadata in automatic translation of TV dialogue, proposing a case study where a wide range of approaches for controlling attributes in translation is employed in a multi-attribute scenario.
Anatomically Parameterized Statistical Shape Model: Explaining Morphometry through Statistical Learning
This mapping is learned from a synthetic population generated by the standard SSM.
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network
The IoU and BFScore of the proposed model were 0. 9311, 0. 9138, and 0. 9032, 0. 8978 on healthy and anaemic datasets, respectively.
A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas
Therefore, the use machine-driven data analytics techniques to analyze data to generate ideas and support idea generation by serving users is useful.
