Subject,"Start Date","Start Time","End Date","End Time","All Day Event",Description,Location,Private "RECORDATORI: About Hierarchical, Syntax-Enriched Machine Translation",14/11/2011,"12:00:00",14/11/2011,13:30:00,False,"Per: Prof. Khalil Sima'an, Universiteit van Amsterdam Over the past years, there have been various efforts at incorporating monolingual syntax into statistical machine translation. The main difficulty often seems that translation equivalence does not necessarily conform to monolingual syntactic constituency structure, as assumed by traditional compositional semantics. In this talk I will reflect on the origins of syntactic structure to show that the information represented in a syntactic tree can be represented in alternative ways. By representing this information adequately, syntactic information can be brought into statistical MT models effectively. In will give a bird's-eye view of three recent models developed together with my co-workers and touch upon some relevant aspects. After that I will discuss the reverse problem of how to represent word alignments hierarchically in order to capture the relations of translation equivalence adequately. By doing so, our aim is to use this new hierarchical representation to pave the way for learning compositional statistical synchronous grammars from word-aligned parallel corpora. This is ongoing work with the fundamental results currently in submission.","Sala Claude Shannon, soterrani, Edifici Politècnica IV",True