In this paper, we demonstrate that accurate machine translation is possible without the concept of “words,” treating MT as a problem of transformation between character string...
Graham Neubig, Taro Watanabe, Shinsuke Mori, Tatsu...
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
This paper regards the recurrent linguistic rule bases. These systems are considered as relational models with several relations. Such representation allows to use relation algebr...
Some recent Artificial Life models have attempted to explain the origin of linguistic diversity with varying conclusions and explanations. We posit, contrary to some existing Artif...
It seems obvious that a successful model of natural language would incorporate a great deal of both linguistic and world knowledge. Interestingly, state of the art language models...
Eric Brill, Radu Florian, John C. Henderson, Lidia...