In this paper, we describe a novel phrase reordering model based on predicate-argument structure. Our phrase reordering method utilizes a general predicate-argument structure analyzer to reorder source language chunks based on predicate-argument structure. We explicitly model longdistance phrase alignments by reordering arguments and predicates. The reordering approach is applied as a preproces...

This paper describes details of the Weblio Pre-reordering Statistical Machine Translation (SMT) System, participated in the English-Japanese translation task of 1st Workshop on Asian Translation (WAT2014). In this system, we applied the pre-reordering method described in (Zhu et al., 2014), and extended the model to obtain N -best pre-reordering results. We also utilized N -best parse trees sim...

Lexicalized reordering models play a crucial role in phrase-based translation systems. They are usually learned from the word-aligned bilingual corpus by examining the reordering relations of adjacent phrases. Instead of just checking whether there is one phrase adjacent to a given phrase, we argue that it is important to take the number of adjacent phrases into account for better estimations o...

Phrase-based translation models, with sequences of words (phrases) as translation units, achieve state-of-the-art translation performance. However, phrase reordering is a major challenge for this model. Recently, researchers have focused on utilizing syntax to improve phrase reordering. In adding syntactic knowledge into phrase reordering model, using handcrafted or probabilistic syntactic rule...

In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering models that emphasize the reordering of adjacent phrase pairs (Tillmann and Zhang, 2005), our model explicitly models the reordering of long distances by directly estimating the parameters from the phrase alignments of bi...

This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source language into the word order of the target language. IBM Models 3 through 5 have reordering components that use surface word information but very little context information to determine the traversal order of the sour...

Wireless Sensor Networks (WSN) are becoming an important tool for data acquisition in environmental monitoring. Their advantages are cheap deployment, long system life time and little maintenance during operation. In many applications the WSN use a multi-hop communication protocol to transmit their data to the sink node. The arriving data is of poor quality su↵ering from duplicates, packet loss...