The ECSS (European Cooperation for Space Standardization) SpaceWire standard includes a list of changes from the standard from which it was derived, IEEE 1355. Several of these changes are improvements, for example fixing the initialization state machine, adding Time Codes, and adding a network layer. The list in the SpaceWire standard does not include a number of aspects of 1355 that SpaceWire...

The National Institute of Standards and Technology (NIST) administered the second open evaluation of Topic Detection and Tracking (TDT) technologies in 1999. The TDT project supports development of technologies that automatically organize event-related news stories. The program leverages expertise in core technologies, Automatic Speech Recognition (ASR), Document Retrieval (DR), and Machine Tra...

In this paper, we propose a prototype of a (collaborative) teleassistance system for mechanical repairs based on Augmented Reality (AR). This technology is generally used to implement specific assistance applications for users, which consist of providing all the information, known as augmentations, required to perform a task. For teletransmission applications, operators are equipped with a wear...

In this paper we describe experiments on predicting HTER, as part of our submission in the Shared Task on Quality Estimation, in the frame of the 9th Workshop on Statistical Machine Translation. In our experiment we check whether it is possible to achieve better HTER prediction by training four individual regression models for each one of the edit types (deletions, insertions, substitutions, sh...

Dynamic flexibility is a major challenge in modern system design to react to context or applicative requirements evolutions. Adapting behaviors may impose substantial code modification across the whole system, in the field, without service interruption, and without state loss. This paper presents the JnJVM, a full Java virtual machine (JVM) that satisfies these needs by using dynamic aspect wea...

Example-Based Machine Translation (EBMT) using partial exact matching against a database of translation examples has proven quite successful, but requires a large amount of pre-translated text in order to achieve broad coverage of unrestricted text. By adding linguistically tagged entries to the example base and permitting recursive matches that replace the matched text with the associated tag,...

In this paper, we address the problem of Machine Translation (MT) for a specialised domain in a language pair for which only a very small domain-specific parallel corpus is available. We conduct a series of experiments using a purely phrase-based SMT (PBSMT) system and a hybrid MT system (TectoMT), testing three different strategies to overcome the problem of the small amount of in-domain train...

In personal assistant dialog systems, intent models are classifiers that identify the intent of a user utterance, such as to add a meeting to a calendar, or get the director of a stated movie. Rapidly adding intents is one of the main bottlenecks to scaling — adding functionality to — personal assistants. In this paper we show how interactive learning can be applied to the creation of statistic...

Nondeterministic analogues of the well-known classes NC and SC, d d NNC and NSC, respectively, are investigated. Adding nondeterminism to SC leaves it in the domain of parallel computation since NSC E POLYLOGSPACE. That is, NSC is a subset of the class of languages computable by fast parallel computers. Adding noodeterminism to NC appears to make it much more powerful since NNC = NP. It is clea...

This paper presents a method to predict retrieval terms from relevant/surrounding words or descriptive texts in Japanese by using deep belief networks (DBN), one of two typical types of deep learning. To determine the effectiveness of using DBN for this task, we tested it along with baseline methods using examplebased approaches and conventional machine learning methods, i.e., multi-layer perce...