Chunks (or phrases) once played a pivotal role in machine translation. By using a chunk rather than a word as the basic translation unit, local (intrachunk) and global (inter-chunk) word orders and dependencies can be easily modeled. The chunk structure, despite its importance, has not been considered in the decoders used for neural machine translation (NMT). In this paper, we propose chunk-bas...

Distributed video coding (DVC) is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. A particular case of DVC deals with lossy source coding with side information at the decoder (Wyner-Ziv) and enables to shift the coding complexity from the encoder to the decoder. The solution here described is based on a very lightweight encoder le...

In its early development, machine translation adopted rule-based approaches, which can include the use of language syntax. The late 1980s and early 1990s saw the inception of the statistical machine translation (SMT) approach, where translation models can be learned automatically from a parallel corpus rather than created manually by humans. Initial SMT models were word-based and phrase-based, ...

Background: Syntax has a high importance among linguistic parameters and the prevalence of syntax deficits is relatively high in children with language disorders. As such, independent examination of syntax in language development is of paramount importance. In this regard, Iranian language pathologists are faced with the lack of standardized tests. The present study aimed to determine the most ...

The performance of decoder-based evolutionary algorithms (EAs) strongly depends on the locality of the used decoder and operators. While many approaches to characterize locality are based on the fitness landscape, we emphasize the explicit relation between genotypes and phenotypes. Statistical measures are demonstrated to reliably predict locality properties of selected decoder-based EAs for th...

Neural encoder-decoder models have shown great success in many sequence generation tasks. However, previous work has not investigated situations in which we would like to control the length of encoder-decoder outputs. This capability is crucial for applications such as text summarization, in which we have to generate concise summaries with a desired length. In this paper, we propose methods for...

In this paper, we present reliability analysis and comparison between on-chip communication architectures: dominant shared-bus AMBA and emerging network-on-chip (NoC); in the presence of single-event upsets (SEUs) using MPEG-2 video decoder as a case study. Employing SystemCbased fault simulations, reliability of the decoders is studied in terms of SEUs experienced in the computation cores and ...

We have witnessed the research progress of machine translation from phrase/syntax-based to semanticsbased and from single sentence-based to discourse and document-based. This talk presents our work of word sense-based translation model for statistical machine translation, which is one of semantics-based SMT research at word sense level. The sense in which a word is used determines the translati...