Languages differ in how they package the components of an event into words to form sentences. For example, while some languages typically encode the manner of motion in the verb (e.g., running), others more often use verbs that encode the path (e.g., ascending). Prior research has demonstrated that children and adults have lexicalization biases; that is, they assume that novel motion verbs will...

DBpedia encodes massive amounts of open domain knowledge and is growing by accumulating more triples at the same rate as Wikipedia. However, the applications often require natural language formulations of these triples to present the information as a natural text. The RealTextlex2 framework offers a scalable platform to transform these triples to natural language sentences using lexicalization ...

This paper aims at exploiting Linked Data for generating natural text, often referred to as lexicalization. We propose a framework that can generate patterns which can be used to lexicalize Linked Data triples. Linked Data is structured knowledge organized in the form of triples consisting of a subject, a predicate and an object. We use DBpedia as the Linked Data source which is not only free b...

TAGs were recently shown not to be closed under strong lexicalization but to be strongly lexicalizable by context-free tree grammars of rank 2. This paper presents an alternative lexicalization procedure that builds on an earlier generalization of TAGs to multi-dimensional trees. A previous theorem that every Tree Substitution grammar is strongly lexicalized by a corresponding TAG is lifted to ...

A traditional lexicalization analysis of a word looks backwards in time, describing each change in the word’s form and usage patterns from actuation (creation) to the present day. I suggest that this traditional view of lexicalization can be labelled Anaphoric Lexicalization to reflect its focus upon what has passed. A corresponding forward-looking process can then be envisaged called Cataphori...

Dependency structures do not have the information of phrase categories in phrase structure grammar. Thus, dependency parsing relies heavily on the lexical information of words. This paper discusses our investigation into the effectiveness of lexicalization in dependency parsing. Specifically, by restricting the degree of lexicalization in the training phase of a parser, we examine the change in...

A pattern in the translation of locative prepositional phrases between English and Spanish is presented. A way of exploiting this pattern is proposed in the context of a multilingual machine translation system under development. I n t r o d u c t i o n Two of the main problems in machine translation (MT) are ambiguity and lexical gaps. Ambiguity occurs when a word in the source language (SL) ha...