Theoretical linguistics traditionally relies on linguistic intuitions such as grammaticality judgments for data. But the massive growth of language technologies has made the spontaneous use of language in natural settings a rich and easily accessible alternative source of data. Moreover, studies of usage as well as intuitive judgments have shown that linguistic intuitions of grammaticality are ...

The robustness of probabilistic parsing generally comes at the expense of grammaticality judgment – the grammaticality of the most probable output parse remaining unknown. Parsers, such as the Stanford or the Reranking ones, can not discriminate between grammatical and ungrammatical probable parses, whether their surface realisations are themselves grammatical or not. In this paper we show that...

DRAMATICS TRANSLATION: LEXICO-SEMANTIC ASPECT

In this paper we describe an implemented framework for developing monolingual or multilingual natural language generation (NLG) applications and machine translation (MT) applications. The framework demonstrates a uniform approach to generation and transfer based on declarative lexico-structural transformations of dependency structures of syntactic or conceptual levels ("uniform lexico-structura...

We used event-related brain potentials (ERPs) to investigate the contributions of explicit and implicit processes during second language (L2) sentence comprehension. We used a L2 grammaticality judgment task (GJT) to test 20 native English speakers enrolled in the first four semesters of Spanish while recording both accuracy and ERP data. Because end-of-sentence grammaticality judgments are ope...

Sentences with doubly center-embedded relative clauses in which a verb phrase (VP) is missing are sometimes perceived as grammatical, thus giving rise to an illusion of grammaticality. In this paper, we provide a new account of why missing-VP sentences, which are both complex and ungrammatical, lead to an illusion of grammaticality, the so-called missing-VP effect. We propose that the missing-V...

Previous research on artificial grammar has indicated that the human ability to classify sentences or letter strings according to grammaticality relies on two types of knowledge. One is a superficial, familiarity-based understanding of a grammar the other is the knowledge of rules and critical features underlying a grammar. The fundamentally different characteristics of these systems permit an ...

This study explores the possibility of replacing the costly and time-consuming human evaluation of the grammaticality and meaning preservation of the output of text simplification (TS) systems with some automatic measures. The focus is on six widely used machine translation (MT) evaluation metrics and their correlation with human judgements of grammaticality and meaning preservation in text sni...

We present an open-domain QuestionAnswering system that learns to answer questions based on successful past interactions. We follow a pattern-based approach to Answer Extraction, where (lexico-syntactic) patterns that relate a question to its answer are automatically learned and used to answer future questions. Results show that our approach contributes to the system’s best performance when it ...

Résumé. Nous présentons la méthode INSYSE (Interface Syntaxe SEmantique) pour l’annotation de documents textuels. Notre objectif est de construire des annotations sémantiques de ces résumés pour interroger le corpus sur la fonction des gènes et leurs relations de causalité avec certaines maladies. Notre approche est semi-automatique, centrée sur (1) l’extraction d’informations lexico-syntaxique...