It is widely held that children's linguistic input underdetermines the correct grammar, and that language learning must therefore be guided by innate linguistic constraints. Here, we show that a Bayesian model can learn a standard poverty-of-stimulus example, anaphoric one, from realistic input by relying on indirect evidence, without a linguistic constraint assumed to be necessary. Our demonst...

Going cross-linguistic is a an important but challenging track for validating a computational model of lexical organization. Our starting point is a computational model that has been established and validated on French language and we attempted to apply it on Mandarin language. The main ingredients of this model are computational lexical resources and a psycho-linguistic protocol involving extr...

Cognitive and mental deterioration, such as difficulties with memory and language, are some of the typical phenotypes for most neurodegenerative diseases including Alzheimer's disease and other dementia forms. This paper describes the first phases of a project that aims at collecting various types of cognitive data, acquired from human subjects in order to study relationships among linguistic a...

We propose to apply classical development methodologies to the design and implementation of Lexical Databases(LDB), which embody conceptual and linguistic knowledge. We represent the conceptual knowledge as an ontology, and the linguistic knowledge, which depends on each language, in lexicons. Our approach is based on a single language-independent ontology. Besides, we study some conceptual and...

We propose to apply relational databases (RDB) development methodologies to the design of lexical databases (LDB), which embody conceptual and linguistic knowledge. We represent the conceptual knowledge as an ontology, and the linguistic knowledge, which depends on each language, in lexicons. Our approach is based on a single languageindependent ontology. Besides, we study some conceptual and l...

Abstract This paper measures the stability of cross-linguistic register variation. A is a variety language that associated with extra-linguistic context. The relationship between and its context functional: linguistic features make up are motivated by needs constraints communicative situation. view hypothesizes should be universal, so we expect stable defines sets which contains. In this paper,...

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality phrases from a text corpus. Phrase mining is important in various tasks including automatic term recognition, document indexing, keyphrase extraction, and topic modeling. Most existing methods rely on complex, trained linguistic analyzers, and thus likely have unsatisfactory performance on text corpora of...

In this paper we are introducing work in progress towards the development of an infrastructure (i.e., design, methodology, creation and description) of linguistic and extra-linguistic data samples acquired from people diagnosed with subjective or mild cognitive impairment and healthy, age-matched controls. The data we are currently collecting consists of various types of modalities; i.e. audio-...

This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research d...