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
Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation
Especially, an asymmetric learning framework is developed by extending the aspect ratio annotations with two types of pseudo labels, i. e., conservative labels and radical labels, to train two asymmetric segmentation networks simultaneously.
Comparison of Current Approaches to Lemmatization: A Case Study in Estonian
This study evaluates three different lemmatization approaches to Estonian -- Generative character-level models, Pattern-based word-level classification models, and rule-based morphological analysis.
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models
This paper presents a comprehensive examination of the impact of tokenization strategies and vocabulary sizes on the performance of Arabic language models in downstream natural language processing tasks.
Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches
These findings highlight the effectiveness of few-shot learning for semantic segmentation and the potential of zero-shot learning in enhancing classification models for knee osteoarthritis diagnosis.
AutoTRIZ: Artificial Ideation with TRIZ and Large Language Models
Researchers and innovators have made enormous efforts in developing ideation methods, such as morphological analysis and design-by-analogy, to aid engineering design ideation for problem solving and innovation.
NLPre: a revised approach towards language-centric benchmarking of Natural Language Preprocessing systems
Aware of the shortcomings of existing NLPre evaluation approaches, we investigate a novel method of reliable and fair evaluation and performance reporting.
VNLP: Turkish NLP Package
In this work, we present VNLP: the first dedicated, complete, open-source, well-documented, lightweight, production-ready, state-of-the-art Natural Language Processing (NLP) package for the Turkish language.
Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping
We effectively minimize data collection requirements by leveraging sparse data acquisition and employing curvelet-based reconstruction algorithms.
Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
The morphology and hierarchy of the vascular systems are essential for perfusion in supporting metabolism.
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie
Accurate neural models are much less efficient than non-neural models and are useless for processing billions of social media posts or handling user queries in real time with a limited budget.
