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
Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis
Considering the variability of amplitude and phase patterns in electrocardiogram (ECG) signals due to cardiac activity and individual differences, existing entropy-based studies have not fully utilized these two patterns and lack integration.
ÚFAL LatinPipe at EvaLatin 2024: Morphosyntactic Analysis of Latin
Our system consists of a fine-tuned concatenation of base and large pre-trained LMs, with a dot-product attention head for parsing and softmax classification heads for morphology to jointly learn both dependency parsing and morphological analysis.
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition
taeheejeon22/morphsubdecomp-korean
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We introduce a morpheme-aware subword tokenization method that utilizes sub-character decomposition to address the challenges of applying Byte Pair Encoding (BPE) to Korean, a language characterized by its rich morphology and unique writing system.
GEO-Nav: a geometric dataset of voltage-gated sodium channels
Voltage-gated sodium (Nav) channels constitute a prime target for drug design and discovery, given their implication in various diseases such as epilepsy, migraine and ataxia to name a few.
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images
aramis-lab/miccai2022-stratifiad
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In this study, we propose a DL-based methodology for semantic segmentation of tau lesions (i. e., neuritic plaques) in WSI of postmortem patients with AD.
Transformers on Multilingual Clause-Level Morphology
While transformer architectures with data augmentation achieved the most promising results for inflection and reinflection tasks, prefix-tuning on mGPT received the highest results for the analysis task.
Deep learning-based identification of sub-nuclear structures in FIB-SEM images
Lastly, we highlight specific aspects of the model that can be optimized for its broad application to other volumetric imaging data as well as in situ cryo-electron tomography.
Word Segmentation and Morphological Parsing for Sanskrit
cicl-iscl/tuesan
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We describe our participation in the Word Segmentation and Morphological Parsing (WSMP) for Sanskrit hackathon.
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
In this work, we ask how we can build a rule-based system that can reason with natural language input but without the manual construction of rules.
Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis
Spell checking and morphological analysis are two fundamental tasks in text and natural language processing and are addressed in the early stages of the development of language technology.
