this paper intends to analyze the attitudes of translation criticism researchers in order to present a theoretical map for translation criticism studies, extract the investigators' learning resources, infer translation criticism criteria, and determine the kind, quality, and degree of interrelationship between translation criticism variables. the linguists, translatologists, and translator...

Machine translation of patent documents is very important from a practical point of view. One of the key technologies for improving machine translation quality is the utilization of syntax. It is difficult to select the appropriate parser for English to Japanese patent machine translation because the effects of each parser on patent translation are not clear. This paper provides an empirical co...

Lay people discussing machine translation systems often perform a round trip translation, that is translating a text into a foreign language and back, to measure the quality of the system. The idea behind this is that a good system will produce a round trip translation that is exactly (or perhaps very close to) the original text. However, people working with machine translation systems intuitiv...

Automatic word alignment plays a critical role in statistical machine translation. Unfortunately the relationship between alignment quality and statistical machine translation performance has not been well understood. In the recent literature the alignment task has frequently been decoupled from the translation task, and assumptions have been made about measuring alignment quality for machine t...

We use referential translation machines (RTMs) for predicting translation performance. RTMs pioneer a language independent approach to all similarity tasks and remove the need to access any task or domain specific information or resource. We improve our RTM models with the ParFDA instance selection model (Biçici et al., 2015), with additional features for predicting the translation performance,...

To make it easier to understand the machine translation evaluation results, a curve is utilized to stand for the performance of a machine translation system. The position of the curve in the graph depicts the quality of the system. The upper left curve stands for higher translation quality. System clustering is made and its dendrogram illustrates the quality difference between systems. These tw...