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Morphological Analysis

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.

Source: Towards Finite-State Morphology of Kurdish

Papers

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Showing 101–125 of 452 papers

TitleStatusHype
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
LowResourceEval-2019: a shared task on morphological analysis for low-resource languagesCode0
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique—0
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer—0
Morphological Segmentation Inside-Out—0
Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model—0
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection—0
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning—0
MorphoBERT: a Persian NER System with BERT and Morphological Analysis—0
LEGATO: A flexible lexicographic annotation tool—0
An Open, Extendible, and Fast Turkish Morphological AnalyzerCode0
A Fast and Accurate Partially Deterministic Morphological Analysis—0
Turkish Tweet Classification with Transformer Encoder—0
Finite State Transducer Calculus for Whole Word Morphology—0
Using Meta-Morph Rules to develop Morphological Analysers: A case study concerning Tamil—0
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging—0
Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan—0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian—0
Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?Code0
Cross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-TuningCode0
Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few—0
CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model—0
CUNI--Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation—0
A New Annotation Scheme for the Sejong Part-of-speech Tagged CorpusCode0
Multi-Team: A Multi-attention, Multi-decoder Approach to Morphological Analysis.—0
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