Language-endowed intelligent agents benefit from leveraging lexical knowledge falling at different points along a spectrum of compositionality. This means that robust computational lexicons should include not only the compositional expectations of argument-taking words, but also non-compositional collocations (idioms), semi-compositional collocations that might be difficult for an agent to inte...

CDB is a relational database designed for the particular needs of representing lexical collocations. The relational model is defined such that competence-based descriptions of collocations (the competence base) and actually occurring collocation examples extracted from text corpora (the example base) complete each other. In the paper, the relational model is described and examples for the repre...

Collocational prepositional phrases like ten koste van (at the expense of), met het oog op (with an eye on), and onder het mom van (under the pretext of) are patterns of the form P-NP-P, which have a non-compositional semantics and which are syntactically rigid or idiosyncratic. We present a number of linguistic tests which set such items apart from regularly built prepositional phrases. To fin...

Collocational deficiency is a pervasive phenomenon in learner English. Language learners often fail to choose the correct combination of two or more words due to their unawareness of collocational properties in vocabulary. They are apt to adopt lexical simplification strategies such as using a synonymous or Ll-influenced expression. This paper presents a corpus-based study on the collocational ...

This paper proposes a new method to find correspondences of uninterrupted collocations from Japanese-English bilingual corpora without sentence-to-sentence alignment. Uninterrupted collocations in English such as “once again”, “give up”, or “gross national product” handled as a single word or a compound word in Japanese, can be automatically extracted with corresponding Japanese words using wor...

This paper describes how to automatically classify the functional relations from the Factotum knowledge base via a statistical machine learning algorithm. This incorporates a method for inferring prepositional relation indicators from corpus data. It also uses lexical collocations (i.e., word associations) and class-based collocations based on the WordNet hypernym relations (i.e., is-subset-of)...

Although corpora and corpus linguistics have been applied for quite long in foreign second language settings, there is still limited understanding about how EFL learners use tools along with dictionaries to enhance their collocation knowledge. This study aims gain insight into the effectiveness of corpus-based pedagogy comparison conventional vocabulary teaching methods, particularly using dict...

The current study takes a new approach to understand the neural systems that support emotion-congruent judgment. The bulk of previous neural research has inferred emotional influences on judgment from disadvantageous judgments or non-random individual differences. The current study manipulated the influence of emotional information on judgments of stimuli that were equivocally composed of posit...

In this paper, we deal with a simple geometric problem: Is it possible to partition rectangle into k non-congruent rectangles of equal area? This problem is motivated by the so-called ‘Mondrian art problem’ that asks similar question for dissections integer sides. Here, generalize Mondrian allowing real case, show minimum value have ‘perfect partition’ (that is, equal-area rectangles) seven. Mo...