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In this paper we address the problem of translating high-level stream programs, such as those written in MPEG's RVC-CAL dataflow language, into implementations in programmable hardware. Our focus is on two aspects: sufficient language coverage to make synt ...
Machine Translation (MT) has progressed tremendously in the past two decades. The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora. System design does not ...
École Polytechnique Fédérale de Lausanne (EPFL)2014
We aim to describe the mediation language between users and indexers in a document retrieval system for a big scientific community intimately related to European Union policies. We assume that this mediation is played by thesauri: sets of indexes apparentl ...
One of the key challenges involved in building statistical automatic speech recognition (ASR) systems is modeling the relationship between subword units or “lexical units” and acoustic feature observations. To model this relationship two types of resources ...
In this paper we address the problem of translating high-level stream programs, such as those written in MPEG's RVC-CAL dataflow language, into implementations in programmable hardware. Our focus is on two aspects: sufficient language coverage to make synt ...
A compositional hierarchy is the default organization of knowledge acquired for the purpose of specifying the design requirements of a service. Existing methods for learning compositional hierarchies from natural language text, interpret composition as an ...
So far, performance and reliability of circuits have been determined by worst-case characterisation of silicon and of environmental conditions such as noise and temperature. As nanometer technologies exacerbate process variations and reduce noise margins, ...
This paper investigates an isolated setting of the lexical substitution task of replacing words with their synonyms. In particular, we examine this problem in the setting of subtitle generation and evaluate state of the art scoring methods that predict the ...
The evaluation of errors made by Machine Translation (MT) systems still needs human effort despite the fact that there are automated MT evaluation tools, such as the BLEU metric. Moreover, assuming that there would be tools that support humans in this tran ...
This paper investigates an isolated setting of the lexical substitution task of replacing words with their synonyms. In particular, we examine this problem in the setting of subtitle generation and evaluate state of the art scoring methods that predict the ...
