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pro vyhledávání: '"Ghader, Hamidreza"'
Autor:
Ghader, Hamidreza
Two popular types of machine translation (MT) are phrase-based and neural machine translation systems. Both of these types of systems are composed of multiple complex models or layers. Each of these models and layers learns different linguistic aspec
Externí odkaz:
http://arxiv.org/abs/2103.03108
Wikipedia is a huge opportunity for machine learning, being the largest semi-structured base of knowledge available. Because of this, many works examine its contents, and focus on structuring it in order to make it usable in learning tasks, for examp
Externí odkaz:
http://arxiv.org/abs/2001.07558
Autor:
Ghader, Hamidreza, Monz, Christof
Earlier approaches indirectly studied the information captured by the hidden states of recurrent and non-recurrent neural machine translation models by feeding them into different classifiers. In this paper, we look at the encoder hidden states of bo
Externí odkaz:
http://arxiv.org/abs/1907.03885
Autor:
Ghader, Hamidreza, Monz, Christof
Attention in neural machine translation provides the possibility to encode relevant parts of the source sentence at each translation step. As a result, attention is considered to be an alignment model as well. However, there is no work that specifica
Externí odkaz:
http://arxiv.org/abs/1710.03348