A constraint-based approach to linguistic interfaces

Bîlbîie, Gabriela

doi:10.1075/li.00038.bil

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…The above two steps introduce artificial intelligence that makes the robot-machine capable of asking questions beyond statically recording language structures and relationships. The last step is constraint-based grammars [18] , which contain hundreds of rules and are applied to multiple languages with a systematic success rate of over 99%.…”

Section: Semantic Grammarsmentioning

confidence: 99%

A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism

Giachos,

Batzaki,

Papakitsos

et al. 2023

j. of Comput. sci. res.

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This work is about the progress of previous related work based on an experiment to improve the intelligence of robotic systems, with the aim of achieving more linguistic communication capabilities between humans and robots. In this paper, the authors attempt an algorithmic approach to natural language generation through hole semantics and by applying the OMAS-III computational model as a grammatical formalism. In the original work, a technical language is used, while in the later works, this has been replaced by a limited Greek natural language dictionary. This particular effort was made to give the evolving system the ability to ask questions as well as the authors developed an initial dialogue system using these techniques. The results show that the use of these techniques the authors apply can give us a more sophisticated dialogue system in the future.

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Section: Semantic Grammarsmentioning

confidence: 99%

A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism

Giachos,

Batzaki,

Papakitsos

et al. 2023

j. of Comput. sci. res.

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Developing a Natural Language Understanding System for Dealing with the Sequencing Problem in Simulating Brain Damage

Giachos,

Batzaki,

Papakitsos

et al. 2024

Wseas Transactions on Biology and Biomedicine

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This paper is an attempt to show how a Human-Robot Interface (HRI) system in the Greek language can help people with brain damage in speech and its related perception issues. This proposal is not the product of research conducted on how to treat brain injuries. It is a conclusion stemming from research on intelligent Human-Robot interfaces, as a part of Artificial Intelligence and Natural Language Processing, which approaches the processing and understanding of natural language with specific methods. For the same reason, experiments on real patients have not been conducted. Thus, this paper does not propose a competing method, but a method for further study. Since it is referring to a very general and quite complex issue, an approach is presented here for the Sequencing problem. A person with such a problem cannot hierarchically organize the tasks needed to be performed. This Hierarchy has to do with both time and practicality. The particular problem here, as much as the innovation of our approach, lies not when there are explicit temporally defined instructions, but in the ability to derive these temporal values through the person’s perception from more vague temporal references. The present approach is developed based on our related previous works for deploying a robotic system that relies on Hole Semantics and the OMAS-III computational model as a grammatical formalism for its communication with humans.

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A constraint-based approach to linguistic interfaces

Cited by 2 publications

References 37 publications

A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism

A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism

Developing a Natural Language Understanding System for Dealing with the Sequencing Problem in Simulating Brain Damage

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