Speech recognition in aircrafts can greatly simplify operation of equipment in both military and civil environments. This paper describes the development of specialized recognizers for two military applications: One for assisting a jet pilot wearing a breathing mask and another for a radar evaluator within an aircraft (similarly to AWACS). In both cases it is not practical to collect su cient s...

This paper studies the enrichment of Spanish WordNet with synset glosses automatically obtained from the English WordNet glosses using a phrase-based Statistical Machine Translation system. We construct the English-Spanish translation system from a parallel corpus of proceedings of the European Parliament, and study how to adapt statistical models to the domain of dictionary definitions. We bui...

This paper presents the results of a survey of English Academic Style Manuals conducted between 2004 and 2007, designed to establish whether English Academic Discourse is sufficiently well-defined as a concept to be useful for translation research. Although, with the current emphasis on genre and disciplinary differences, it is fashionable today to speak of Academic Discourses in the plural, th...

We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of information but automatic parse trees of the input sentences. We use a few attribute-value features and tree kernel functions applied to specialized structured features. Different configurations of our thematic role labeling sy...

Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each natural language that needs to be processed. We present a novel method for rapidly creating IE systems for new languages by exploiting existing IE systems via crosslanguage projection. Given an IE system for a source lan...

The objective of this paper is to present a methodology to extract and rank automatically biomedical terms from free text. The authors present new extraction methods taking into account linguistic patterns specialized for the biomedical domain, statistic term extraction measures such as C-value and statistic keyword extraction measures such as Okapi BM25, and TFIDF. These measures are combined ...

The Decision Management (DM) Community Challenge of March 2016 consisted of creating decision models from ten English Port Clearance Rules inspired by the International Ship and Port Facility Security Code. Based on an analysis of the moderately controlled English rules and current online solutions, we formalized the rules in PositionalSlotted, Object-Applicative (PSOA) RuleML. This resulted in...