Massive open online courses have been growing rapidly in size and impact. TraMOOC aims at developing high-quality translation of all types of text genre included in MOOCs from English into eleven European and BRIC languages (DE, IT, PT, EL, DU, CS, BG, CR, PL, RU, ZH) that are hard to translate into and have weak MT support. Phrase-based and syntax-based SMT models will be developed for address...

background complications and postoperative pain are major care problems that can affect the quality of health care plan. objectives according to the use of multimodal therapy the current study aimed to compare the efficacy of gabapentin and celecoxib in pain management and complications after laminectomy at ilam university of medical sciences, ilam, iran, in 2015. patients and methods in this r...

Bidirectional Recurrent Neural Networks (BiRNNs) haveshown outstanding results on sequence-to-sequence learning tasks. This architecture becomes specially interesting for multimodal machine translation task, since BiRNNs can deal with images and text. On most translation systems the same word embedding is fed to both BiRNN units. In this paper, we present several experiments to enhance a baseli...

Translation as a notion and procedure is deeply embodied in medical science and education. Translation includes the possibility to translate data across disciplines to improve diagnosis and treatment procedures. The evidence accumulated using translation serves as a vehicle for reification of medical diagnoses. There are promising, established post hoc correlations between the different types o...

Discovering parallel data in comparable corpora is a promising approach for overcoming the lack of parallel texts in statistical machine translation and other NLP applications. In this paper we propose an alternative to comparable corpora of texts as resources for extracting parallel data: a multimodal comparable corpus of audio and texts. We present a novel method to detect parallel phrases fr...

While end-to-end neural machine translation (NMT) has achieved notable success in the past years in translating a handful of resource-rich language pairs, it still suffers from the data scarcity problem for low-resource language pairs and domains. To tackle this problem, we propose an interactive multimodal framework for zero-resource neural machine translation. Instead of being passively expos...

Research in the humanities is increasingly attracted by data mining and data management techniques in order to efficiently deal with complex scientific corpora. Particularly, the exploration of hidden patterns within different types of data streams arising from psycholinguistic experiments is of growing interest in the area of translation process research. In order to support psycholinguistic e...

The study seeks to provide insight the multi-faceted translation process of One Flew over Cuckoo’s Nest during its national and international circulation in intersemiotic interlingual translation. Written first as a novel by Ken Kesey 1962, book was adapted stage Dale Wasserman 1963 into movie 1975 Miloš Forman. Starring Jack Nicholson main character, won numerous awards symbolic capital surpas...

Numerous algorithms have been proposed to solve the shortest-pathproblem; many of them consider a single-mode network and crispcosts. Other attempts have addressed the problem of fuzzy costs ina single-mode network, the so-called fuzzy shortest-path problem(FSPP). The main contribution of the present work is to solve theoptimum path problem in a multimodal transportation network, inwhich the co...