In this paper we present first experiments towards a tighter coupling between Automatic Speech Recognition (ASR) and Statistical Machine Translation (SMT) to improve the overall performance of our speech translation system. In coventional speech translation systems, the recognizer outputs a single hypothesis which is then translated by the SMT system. This approach has the limitation of being l...

In this work we present the first results of statistical approach to the machine translation of Serbian language into English and vice versa. The experiments are performed on the Assimil language course, bilingual parallel corpus which consists of about 3k sentences and 20k running words from unrestricted domain. The error rates for the translation of Serbian into English are about 35-45% and f...

background: the purpose of the present study was to examine the reliability of scapular kinematic measurements using motion analysis system in subjects with and without general hypermobility syndrome. methods: a methodological study was designed to assess the reliability of scapular movement measurement in two groups of females with and without general hypermobility syndrome. upward rotation, s...

In this paper we present first experiments towards a tighter coupling between Automatic Speech Recognition (ASR) and Statistical Machine Translation (SMT) to improve the overall performance of our speech translation system. In coventional speech translation systems, the recognizer outputs a single hypothesis which is then translated by the SMT system. This approach has the limitation of being l...

We present TerrorCat, a submission to the WMT’12 metrics shared task. TerrorCat uses frequencies of automatically obtained translation error categories as base for pairwise comparison of translation hypotheses, which is in turn used to generate a score for every translation. The metric shows high overall correlation with human judgements on the system level and more modest results on the level ...

BACKGROUND AND AIMS The concept of national drinking culture is well established in research and policy debate, but rarely features in contemporary alcohol policy analysis. We aim to demonstrate the value of the alternative concept of social practices for quantitatively operationalizing drinking culture. We discuss how a practice perspective addresses limitations in existing analytical approach...

This paper gives an overview of the stochastic modelling approach to machine translation. Starting with the Bayes decision rule as in pattern classification and speech recognition, we show how the resulting system architecture can be structured into three parts: the language model probability, the string translation model probability and the search procedure that generates the word sequence in ...

This paper gives an overview of our work on statistical machine translation of spoken dialogues, in particular in the framework of the VERBMOBIL project. The goal of the VERBMOBIL project is the translation of spoken dialogues in the domains of appointment scheduling and travel planning. Starting with the Bayes decision rule as in speech recognition, we show how the required probability distrib...

This article identifies a semantically motivated typology of lexicalization paths to account for the formation of nominal compounds from complex noun phrases. The typology includes coordination, semantic roles and possession, which, systematically, seems to be the origin of various subclasses of appositional, copulative and endocentric compounds, and the typology has serious implications for li...