Add to ORKGBidirectional Associative Memories (BAM) based on Kosko’s model are implemented through iterative algorithms and present stability problems. Also, these models along with other models based on different methods, have not been able to perfectly recall all trained patterns. In this paper we present an English-Spanish / Spanish-English translator based on a new BAM model denominated Alpha-Beta BAM, whose process is non iterative and does not require to find stable states. The translator recalls the whole set of learned patterns, even when the presented word is incomplete. Key words: Bidirectional Associative Memories, Alpha-Beta Associative Memories, perfect recall, transaltor
Nesta tese, uma família de memórias associativas bidirecionais caóticas (família C-BAM) é proposta, ...
This paper revisits the regeneration hypothesis, a proposal about the nature of the psycholinguistic...
In this paper, we propose a new method for extracting bilingual collocations from a parallel corpus ...
Abstract: Most models of Bidirectional associative memories intend to achieve that all trained patte...
Abstract—Typical bidirectional associative memories (BAM) use an offline, one-shot learning rule, ha...
This work presents two different trans-lation models using recurrent neural net-works. The first one...
Translation memories are promising devices for automatic translation. Their main weakness, however, ...
An optimal learning scheme is proposed for a class of Bidirectional Associative Memories(BAM's). Thi...
[EN] A language model based in continuous representations of words is presented, which has been app...
The purpose of this investigation was to test the assumption of asymmetric mapping between words and...
International audienceNon-autoregressive machine translation (NAT) has recently made great progress....
Protein Processor Associative Memory (PPAM) is a novel architecture for learning associations increm...
As a new neural machine translation approach, NonAutoregressive machine Translation (NAT) has attrac...
Learning in bidirectional associative memory (BAM) is typically Hebbian-based. Since Kosko's 1988 ['...
A majority of Machine Aided Translation systems are based on comparisons between a source sentence a...
Nesta tese, uma família de memórias associativas bidirecionais caóticas (família C-BAM) é proposta, ...
This paper revisits the regeneration hypothesis, a proposal about the nature of the psycholinguistic...
In this paper, we propose a new method for extracting bilingual collocations from a parallel corpus ...
Abstract: Most models of Bidirectional associative memories intend to achieve that all trained patte...
Abstract—Typical bidirectional associative memories (BAM) use an offline, one-shot learning rule, ha...
This work presents two different trans-lation models using recurrent neural net-works. The first one...
Translation memories are promising devices for automatic translation. Their main weakness, however, ...
An optimal learning scheme is proposed for a class of Bidirectional Associative Memories(BAM's). Thi...
[EN] A language model based in continuous representations of words is presented, which has been app...
The purpose of this investigation was to test the assumption of asymmetric mapping between words and...
International audienceNon-autoregressive machine translation (NAT) has recently made great progress....
Protein Processor Associative Memory (PPAM) is a novel architecture for learning associations increm...
As a new neural machine translation approach, NonAutoregressive machine Translation (NAT) has attrac...
Learning in bidirectional associative memory (BAM) is typically Hebbian-based. Since Kosko's 1988 ['...
A majority of Machine Aided Translation systems are based on comparisons between a source sentence a...
Nesta tese, uma família de memórias associativas bidirecionais caóticas (família C-BAM) é proposta, ...
This paper revisits the regeneration hypothesis, a proposal about the nature of the psycholinguistic...
In this paper, we propose a new method for extracting bilingual collocations from a parallel corpus ...