Results 11 to 20 of about 531,196 (75)

Binary Multi Channel Morphological Neural Network [PDF]

arXiv, 2022
Neural networks and particularly Deep learning have been comparatively little studied from the theoretical point of view. Conversely, Mathematical Morphology is a discipline with solid theoretical foundations. We combine these domains to propose a new type of neural architecture that is theoretically more explainable.
arxiv  

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution [PDF]

arXiv, 2023
Throughout long history, natural species have learned to survive by evolving their physical structures adaptive to the environment changes. In contrast, current reinforcement learning (RL) studies mainly focus on training an agent with a fixed morphology (e.g., skeletal structure and joint attributes) in a fixed environment, which can hardly generalize
arxiv  

The Dynamic of Body and Brain Co-Evolution [PDF]

arXiv, 2020
We introduce a method that permits to co-evolve the body and the control properties of robots. It can be used to adapt the morphological traits of robots with a hand-designed morphological bauplan or to evolve the morphological bauplan as well. Our results indicate that robots with co-adapted body and control traits outperform robots with fixed hand ...
arxiv  

The Interplay of Semantics and Morphology in Word Embeddings [PDF]

arXiv, 2017
We explore the ability of word embeddings to capture both semantic and morphological similarity, as affected by the different types of linguistic properties (surface form, lemma, morphological tag) used to compose the representation of each word.
arxiv  

A Morphology-aware Network for Morphological Disambiguation [PDF]

arXiv, 2017
Agglutinative languages such as Turkish, Finnish and Hungarian require morphological disambiguation before further processing due to the complex morphology of words. A morphological disambiguator is used to select the correct morphological analysis of a word.
arxiv  

An implementation of Apertium based Assamese morphological analyzer [PDF]

arXiv, 2015
Morphological Analysis is an important branch of linguistics for any Natural Language Processing Technology. Morphology studies the word structure and formation of word of a language. In current scenario of NLP research, morphological analysis techniques have become more popular day by day.
arxiv  

What do character-level models learn about morphology? The case of dependency parsing [PDF]

arXiv, 2018
When parsing morphologically-rich languages with neural models, it is beneficial to model input at the character level, and it has been claimed that this is because character-level models learn morphology. We test these claims by comparing character-level models to an oracle with access to explicit morphological analysis on twelve languages with ...
arxiv  

Modeling Composite Labels for Neural Morphological Tagging [PDF]

arXiv, 2018
Neural morphological tagging has been regarded as an extension to POS tagging task, treating each morphological tag as a monolithic label and ignoring its internal structure. We propose to view morphological tags as composite labels and explicitly model their internal structure in a neural sequence tagger.
arxiv  

Labeled Morphological Segmentation with Semi-Markov Models [PDF]

We present labeled morphological segmentation, an alternative view of morphological processing that unifies several tasks. From an annotation standpoint, we additionally introduce a new hierarchy of morphotactic tagsets. Finally, we develop \modelname, a discriminative morphological segmentation system that, contrary to previous work, explicitly models
arxiv   +1 more source

MORPHOLOGICAL AND PHYSIOLOGICAL CHARACTERISTICS OF THE GENUS CHROMOBACTERIUM [PDF]

, 1956
Einar Leifson
openalex   +1 more source