Connectionist F - structure Transfer
نویسندگان
چکیده
A traditional transfer system in machine translation maps between language structures and an intermediate representation. Our connectionist transfer system maps from f-structures of one language to f-structures of another language. It encodes the intermediate representation implicitly in neural networks' activation patterns. The system is learnable, therefore it does not need any e ort in handcrafting the representation and mapping rules. Experiments show the system has good scalability and generalizability performance.
منابع مشابه
Connectionist Transfer in Machine Translation
A traditional transfer system in machine translation maps between language structures and an intermediate representation. Our connectionist transfer system maps from f-structures of one language to f-structures of another language. It encodes the intermediate representation implicitly in neural networks' activation patterns. The system is learnable, therefore it does not need any e ort in hand-...
متن کاملA Transfer of Sequence Function via Equivalence in a Connectionist Network
ly represented by a connectionist network and still maintain their plausibility as simulations of natural language. As analogies of human Reprint requests may be sent to Fiona Lyddy, Department of Psychology, University of Wales Institute, Llandaff Campus, Cardiff CF5 2YB, Wales.
متن کاملHybrid Approaches to Neural Network-based Language Processing
In this paper we outline hybrid approaches to arti cial neural network-based natural language processing. We start by motivating hybrid symbolic/connectionist processing. Then we suggest various types of symbolic/connectionist integration for language processing: connectionist structure architectures, hybrid transfer architectures, hybrid processing architectures. Furthermore, we focus particul...
متن کاملComputational modeling of dynamic decision making using connectionist networks
In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decisio...
متن کاملA Comparison of Learning Transfer in Networks and Humans
Learning transfer is the improvement in performance on one task having learnt a related task. That the degree of transfer is signi cantly greater in humans than other primates and animals suggests it is a critical component of higher intelligence. One connectionist approach, weight sharing, represents common task knowledge as weighted connections shared by subnetworks dedicated to individual ta...
متن کامل