This pal)or presents a linguistic model for language understanding and describes its application to an experimental machine translation system called LUTE. The language understanding model is an interactive model between the memory structure and a text. The memory structure is hierarchical and represented in a frame-network. Linguistic and non-linguistic knowledge is stored and the result of understanding the text is assimilated into the memory structure. Tim understanding process is interactive in that the text invokes knowledge and the understanding procedure intcrprots the text by using that knowledge. A linguistic model, called the Extended Case Structure model, is defined by adopting three kinds of information: structure, relation and ...
Producing machine translation (MT) for the many minority languages in the world is a serious challen...
A simulation model is described for the acquisition of the control of syntax in language generation....
Neural networks learn patterns from data to solve complex problems. To understand and infer meaning ...
Much of the research on language is based on an attempt to separateit into distinctcomponents-compon...
A language model is simply a model of what strings (of words) are more or less likely to be generate...
A computational psycholinguistic model of written language comprehension called PM (Propositional Mo...
This paper describes a method of in-teractively visualizing and directing the process of translating...
This paper describes a system for the computer understanding of English. The system answers questi...
Producing machine translation (MT) for the many minority lan-guages in the world is a serious challe...
Producing machine translation (MT) for the many minority languages in the world is a serious challen...
development of so-called “second generation ” systems, which aimed to translate text by a process of...
In this thesis, I explore neural machine translation (NMT) models via targeted investigation of vari...
Machine translation is the process by which a computer system produces, from a source-language compu...
Although neural machine translation has become the mainstream method and paradigm in the current res...
The purpose of this paper is to investigate the impact of human memory in language comprehension a...
Producing machine translation (MT) for the many minority languages in the world is a serious challen...
A simulation model is described for the acquisition of the control of syntax in language generation....
Neural networks learn patterns from data to solve complex problems. To understand and infer meaning ...
Much of the research on language is based on an attempt to separateit into distinctcomponents-compon...
A language model is simply a model of what strings (of words) are more or less likely to be generate...
A computational psycholinguistic model of written language comprehension called PM (Propositional Mo...
This paper describes a method of in-teractively visualizing and directing the process of translating...
This paper describes a system for the computer understanding of English. The system answers questi...
Producing machine translation (MT) for the many minority lan-guages in the world is a serious challe...
Producing machine translation (MT) for the many minority languages in the world is a serious challen...
development of so-called “second generation ” systems, which aimed to translate text by a process of...
In this thesis, I explore neural machine translation (NMT) models via targeted investigation of vari...
Machine translation is the process by which a computer system produces, from a source-language compu...
Although neural machine translation has become the mainstream method and paradigm in the current res...
The purpose of this paper is to investigate the impact of human memory in language comprehension a...
Producing machine translation (MT) for the many minority languages in the world is a serious challen...
A simulation model is described for the acquisition of the control of syntax in language generation....
Neural networks learn patterns from data to solve complex problems. To understand and infer meaning ...