Feature structures are partially speciied, record-like structures which are employed in many recent grammar formalisms to represent linguistic objects of various kinds. Building on previous approaches to the logical representation of linguistic knowledge, this paper presents a logical language which is suuciently expressive to allow for the encoding of recursive constraints on feature structure...

This paper introduces three types of Statistical Machine Translation (SMT) output errors that would require grammatical knowledge for prevention. The first type is due to words that are negative in meaning but not in form. Problems arise when the negative forms are obligatory in target languages. The second type of errors is derived from the rigidity of pattern phrases or correlatives which do ...

This paper presents a method for the assignment of grammatical relation labels in a sentence structure. The method has been implemented in the software tool AGRA (Automatic Grammatical Relation Assigner), which is part of a project for the development of a treebank of Italian sentences, and a knowledge base of Italian subcategorization frames. The annotation schema implements a notion of unders...

Previous studies have suggested that both automatic and intentional processes contribute to the learning of grammar and fragment knowledge in artificial grammar learning (AGL) tasks. To explore the relative contribution of automatic and intentional processes to knowledge gained in AGL, we utilized dual-task methodology to dissociate automatic and intentional grammar- and fragment-based knowledg...