Current automatic machine translation systems are not able to generate error-free translations and human intervention is often required to correct their output. Alternatively, an interactive framework that integrates the human knowledge into the translation process has been presented in previous works. Here, we describe a new interactive machine translation approach that is able to work with ph...

Spoken language translation (SLT) systems typically follow a pipeline architecture, in which the best automatic speech recognition (ASR) hypothesis of an input utterance is fed into a statistical machine translation (SMT) system. Conversational speech often generates unrecoverable ASR errors owing to its rich vocabulary (e.g. out-of-vocabulary (OOV) named entities). In this paper, we study the ...

In spite of much ongoing research on machine translation evaluation there is little quantitative work that directly measures users’ intuitive or emotional preferences regarding different types of machine translation errors. However, the elicitation and modeling of user preferences is an important prerequisite for future research on user adaptation and customization of machine translation engine...

Prison is a marginal space that hidden from society, and life writing by prisoners thus offers valuable insights into prison life. This paper examines prisoner writing, as genre neglected academia, focusing on how the prisoner-writer describes imprisonment to non-prisoner reader. My analysis explores Davies’s (1990. Writers in Prison. Oxford: Blackwell) assertion represents an act of translatio...

A detection method of lean blowout in a laboratory-scale premixed gas-turbine model combustor has been proposed from a view point of nonlinear dynamics. The translation error, which quantifies the degree of the parallelism of trajectories in the phase space constructed from the time-series data of the combustion-chamber pressure fluctuations, is used as a detector in this work. The dynamic beha...

Schwartz et al. (2011) presented a novel technique for incorporating syntactic knowledge into phrase-based machine translation through incremental syntactic parsing, and presented empirical results on a constrained Urdu-English translation task. The work contained an error in the description of the experimental setup, which was discovered subsequent to publication. After correcting the error, n...

In this thesis proposal I present my thesis work, about preand postprocessing for statistical machine translation, mainly into Germanic languages. I focus my work on four areas: compounding, definite noun phrases, reordering, and error correction. Initial results are positive within all four areas, and there are promising possibilities for extending these approaches. In addition I also focus on...

Recently the first methods of automatic diagnostics of machine translation have emerged; since this area of research is relatively young, the efforts are not coordinated. We present a collection of translation error-annotated corpora, consisting of automatically produced translations and their detailed manual translation error analysis. Using the collected corpora we evaluate the available stat...

Masonry churches, which are one of the cultural heritages, show historical background, and religious characteristics cities material properties. Churches in earthquake zone, different from each other terms typology have a special importance, at risk. The aim this study is to examine behavior church sample Turkey provide guide for structures with similar typology. building was modeled subjected ...