One major drawback of using Translation Memories (TMs) in phrase-based Machine Translation (MT) is that only continuous phrases are considered. In contrast, syntax-based MT allows phrasal discontinuity by learning translation rules containing non-terminals. In this paper, we combine a TM with syntax-based MT via sparse features. These features are extracted during decoding based on translation ...

In this paper, we propose a novel translation model (TM) based cross-lingual data selection model for language model (LM) adaptation in statistical machine translation (SMT), from word models to phrase models. Given a source sentence in the translation task, this model directly estimates the probability that a sentence in the target LM training corpus is similar. Compared with the traditional a...

Cache-oblivious B-trees for data sets stored in external memory represent an application that can benefit from the use of transactional memory (TM), yet pose several challenges for existing TM implementations. Using TM, a programmer can modify a serial, in-memory cache-oblivious B-tree (CO B-tree) to support concurrent operations in a straightforward manner, by performing queries and updates as...

The increasing popularity of statistical machine translation (SMT) systems is introducing new domains of translation that need to be tackled. As many resources are already available, domain adaptation methods can be applied to utilize these recourses in the most beneficial way for the new domain. We explore adaptation via filtering, using the crossentropy scores to discard irrelevant sentences....

We present a novel approach for translation model (TM) adaptation using phrase training. The proposed adaptation procedure is initialized with a standard general-domain TM, which is then used to perform phrase training on a smaller in-domain set. This way, we bias the probabilities of the general TM towards the in-domain distribution. Experimental results on two different lectures translation t...

A majority of Machine Aided Translation systems are based on comparisons between a source sentence and reference sentences stored in Translation Memories (TMs). The translation search is done by looking for sentences in a database which are similar to the source sentence. TMs have two basic limitations: the dependency on the repetition of complete sentences and the high cost of building a TM. A...

This paper concerns the methods of evaluation of a computational translator’s aid known as a Translation Memory (TM). A typical TM system selects candidate translations into a target language by obtaining matches to an input source-language sentence from a database comprising source–target pairs of previously translated sentences. We describe a metric for evaluating TMs and illustrate it with a...

Major hardware and software vendors are curious about transactional memory (TM), but are understandably cautious about committing to hardware changes. Our thesis is that deconstructing transactional memory into separate, interchangeable components facilitates TM adoption in two ways. First, it aids hardware TM refinement, allowing vendors to adopt TM earlier, knowing that they can more easily r...

The mechanisms that couple translation and protein processing are poorly understood in higher eukaryotes. Although mammalian target of rapamycin (mTOR) complex 1 (mTORC1) controls translation initiation, the function of mTORC2 in protein synthesis remains to be defined. In this study, we find that mTORC2 can colocalize with actively translating ribosomes and can stably interact with rpL23a, a l...

The use of the Snapshot Isolation (SI) level in Transactional Memory (TM) eliminates the need of tracking memory read accesses, reducing the run-time overhead and fastening the commit phase. By detecting only write-write conflicts, SI allows many memory transactions to succeed that would otherwise abort if serialized. This higher commit rate comes at the expense of introducing anomalous behavio...