In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be successfully used to reduce the number of translation rules by more than 70% without negatively affecting translation quality as measured by BLEU. For some filter configurations, translation quality is even improved. Our inves...

PURPOSE The barriers to patients' successful medication intake behavior could be reduced through tailored communication about these barriers. The aim of this study is therefore (1) to develop a new communication typology to address these barriers to successful medication intake behavior, and (2) to examine the relationship between the use of the typology and the reduction of the barriers to suc...

We present a Weighted Finite State Transducer Translation Template Model for statistical machine translation. This is a source-channel model of translation inspired by the Alignment Template translation model. The model attempts to overcome the deficiencies of word-to-word translation models by considering phrases rather than words as units of translation. The approach we describe allows us to ...

BACKGROUND Language barriers may prevent clinicians from tailoring patient educational material to the needs of individuals with limited English proficiency. Online translation tools could fill this gap, but their accuracy is unknown. We evaluated the accuracy of an online translation tool for patient educational material. METHODS We selected 45 sentences from a pamphlet available in both Eng...

This research aims at finding out the causes that led to wrong lexical selections in machine translation (MT) rather than categorizing lexical errors, which has been a main practice in error analysis. By manually examining and analyzing lexical errors outputted by a MT system, it suggests what knowledge would help the system reduce lexical errors. Keywords—Error analysis, causes of errors, mach...

A typology of inmates and pretrial detainees admitted to a secure forensic psychiatric hospital was developed using the referral or adjustment problem at the correctional setting as the classifying variable. An eight-group typology was derived along with a description of each type's demographic, criminal, psychiatric, and institutional characteristics. Although the typology appears to be center...

In this paper we present an opensource machine translation toolkit Chaski which is capable of training phrase-based machine translation models on Hadoop clusters. The toolkit provides a full training pipeline including distributed word alignment, word clustering and phrase extraction. The toolkit also provides an extended error-tolerance mechanism over standardHadoop error-tolerance framework. ...

Following our analysis of SKOS vocabularies publicly available on the Web, we found several types of ‘irregularity’ in some of the vocabularies’ representation [1]. We have considered these ‘defects’ as slips made by vocabulary engineers when authoring the vocabularies. In many cases these slips are apparently due to either syntactic error or accidental misuse of the SKOS core vocabulary. In th...

Neoclassical economic and sociological views of discrimination are compared. We summarize economic models of taste, statistical, error, and monopolistic discrimination. Economists argue that competitive market forces should lead to the demise of discrimination in the long run. After explaining these arguments, we present sociological arguments about institutional and social-psychological mechan...