Segmentation is a fundamental component of many medical image-processing applications, and it has long been recognized as a challenging problem. In this paper, we report our research and development efforts on analyzing and extracting clinically meaningful regions from uterine cervix images in a large database created for the study of cervical cancer. In addition to proposing new algorithms, we...

A linear order is n-decidable if its universe is N and the relations determined by n formulas are uniformly computable. This means that there is a computable procedure which, when applied to a n formula φ(x̄) and a sequence ā of elements of the linear order, will determine whether or not φ(ā) is true in the structure. A linear order is decidable if the relations determined by all formulas are un...

when asked, “how many animals of each kind did Moses take on the Ark?“ most people respond “Two“ despite knowing that noah rather than Moses was the biblical actor. Two experiments tested the role of processing fluency in the detection of such semantic distortions by presenting questions in an easy or difficult to read print font. As predicted, low processing fluency facilitated detection of th...

-Machine transliteration plays an important role in natural language applications such as information retrieval and machine translation, especially for handling proper nouns and technical terms. Transliteration is a crucial factor in CLIR and MT. It is important for Machine Translation, especially when the languages do not use the same scripts. This paper addresses the issue of statistical mach...

Previous research has demonstrated that people have enormous difficulty in detecting distortions in such questions as, "How many animals of each kind did Moses take in the Ark?" Reder and Kusbit (1991) argued that the locus of the effect must be the existence of a partial-match process. Other research has suggested that this partial-match process operates at the word level and that, with adequa...

Avery hot issue for research and industry is how to effectively integratemachine translation (MT)within computer assisted translation (CAT) software. This paper focuses on this issue, and more generally how to dynamically adapt phrase-based statistical machine translation (SMT) by exploiting external knowledge, like the post-editions from professional translators. We present an enhancement of t...

I n t roduc t ion The w o r d stut ter ing, (also stammering or logospasm) comes f rom the gothic stautan to strike, ( l ) Stutter ing is a disturbance in the fluency and t ime patterning of speech that is inappropriate fo r the person's age. Stuttering consists ei ther of repet i t ions, prolongat ions, pauses wi th in words , observable w o r d substitut ions to avoid blocking, or audible or ...

Transliteration is the phonetic translation between two different languages. There are many works that approach transliteration using machine translation methods. This paper describes the official baseline system for the NEWS 2016 workshop shared task. This baseline is based on a standard phrase-based machine translation system using Moses. Results are between the range of best and worst from l...

We present a simple method for generating translations with the Moses toolkit (Koehn et al., 2007) from existing hypotheses produced by other translation engines. As the structures underlying these translation engines are not known, an evaluationbased strategy is applied to select systems for combination. The experiments show promising improvements in terms of BLEU.