This paper describes some operational aspects of a language comprehension model which unifies the linguistic theory and the semantic theory in respect to operations. The computational model, called Augmented Dependency Grammar (ADG), formulates not only the linguistic dependency structure of sentences but also the semantic dependency structure using the extended deep case grammar and fleld-orie...

In this paper we present an ongoing research investigating the possibility and potential of integrating frame semantics, particularly FrameNet, in the Grammatical Framework (GF) application grammar development. An important component of GF is its Resource Grammar Library (RGL) that encapsulates the low-level linguistic knowledge about morphology and syntax of currently more than 20 languages fa...

We have developed a prototype system for syntactic parsing of corpus text based on a wide-coverage unification-based grammar of English and domain-independent statistical techniques for selecting the most plausible parses from the typically large number licensed by the grammar. Although the results from initial experiments are promising, the system is ‘brittle’, relying particularly on the corr...

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...

Optical Music Recognition needs to be reliable to avoid users to detect and correct errors by controlling all the recognized score. Reliability can be reach by improving the recognition quality (on segmentation problems) and by making the system able to detect itself its recognition errors. This is possible only by using as much as possible the musical knowledge. Therefore, we propose a grammar...

Five experiments evaluated the contributions of rule, exemplar, fragment, and episodic knowledge in artificial grammar learning using memorization versus hypothesis-testing training tasks. Strings of letters were generated from a biconditional grammar that allows different sources of responding to be unconfounded. There was no evidence that memorization led to passive abstraction of rules or en...

In this paper we present a multilingual SPARQL-based [1] retrieval interface for querying cultural heritage data in natural language (NL). The presented system offers an elegant grammar-based approach which is based on Grammatical Framework (GF) [2], a grammar formalism supporting multilingual applications. Using GF, we are able to present a cross-language SPARQL grammar covering 15 languages a...

Overall setup. The methodology for grammar convergence has been presented in [1] and elaborated in a large case study [2]. In short, it is a method of establishing relationships between language grammars by extracting them from available grammar artifacts and transforming until they become equivalent. The relationship is represented by the transformation chain properties: its length, the type o...

This paper focuses on how automatic translation techniques integrated in a patent retrieval system increase its capabilities and make possible extended features and functionalities. We describe 1) a novel methodology for natural language to SPARQL translation based on a grammar–ontology interoperability automation and a query grammar for the patents domain; 2) a devised strategy for statistical...

This paper examines the relationship between modeling human sentence comprehension using cognitive architectures and approaches to linguistic knowledge representation using construction grammars. We review multiple computational models of language understanding that vary in their use of construction grammar and cognitive architectures. We present a case study: Lucia, that uses Embodied Construc...