Incorporating semantic structure into a linguistics-free translation model is challenging, since semantic structures are closely tied to syntax. In this paper, we propose a two-level approach to exploiting predicate-argument structure reordering in a hierarchical phrase-based translation model. First, we introduce linguistically motivated constraints into a hierarchical model, guiding translati...

We present the first ever results showing that tuning a machine translation system against a semantic frame based objective function, MEANT, produces more robustly adequate translations than tuning against BLEU or TER as measured across commonly used metrics and human subjective evaluation. Moreover, for informal web forum data, human evaluators preferredMEANT-tuned systems over BLEUor TER-tune...

Long-distance semantic dependencies are crucial for lexical choice in statistical machine translation. In this paper, we study semantic dependencies between verbs and their arguments by modeling selectional preferences in the context of machine translation. We incorporate preferences that verbs impose on subjects and objects into translation. In addition, bilingual selectional preferences betwe...

The alignment of different ontologies requires the specification, representation and execution of translation rules. The rules need to integrate translations at the lexical, the syntactic and the semantic layer requiring semantic reasoning as well as low-level specification of adhoc conversions of data. Existing formalisms for representing translation rules cannot cover the representation needs...

This paper introduces a method which aims at translating Chinese terms into English. Our motivation is providing deep semantic-level information for term translation through analyzing the semantic structure of terms. Using the contextual information in the term and the first sememe of each word in HowNet as features, we trained a Support Vector Machine (SVM) model to identify the dependencies a...

In this paper we apply distributional semantic information to document-level machine translation. We train monolingual and bilingual word vector models on large corpora and we evaluate them first in a cross-lingual lexical substitution task and then on the final translation task. For translation, we incorporate the semantic information in a statistical document-level decoder (Docent), by enforc...

Abstract Translation is a process which needs concentration and a relaxed mind. Obsessive compulsive disorder (OCD) is a mental disorder which causes the patients to repeat something continuously so that it is done in the best way. As both translation and OCD are mental processes, this study has investigated the relation between these two mental processes. For this purpose, at first Oxford Plac...

Abstract Translation is a process which needs concentration and a relaxed mind. Obsessive compulsive disorder (OCD) is a mental disorder which causes the patients to repeat something continuously so that it is done in the best way. As both translation and OCD are mental processes, this study has investigated the relation between these two mental processes. For this purpose, at first Oxford Plac...