The linguistic style in which legislation is normally written has many similarities with the language of logic programming. However, examples of legal language taken from the British Nationality Act 1981, the University of Michigan lease termination clause, and the London Underground emergency notice suggest several ways in which the basic model of logic programming could usefully be extended. ...

Abstract. The student’s communication in writing has a different style. It is interesting to be studied since it relate with literacy practice especially using technology. Thus, this current study was conducted explore the figurative language and discourse goals made by students their Instagram posts. This also describes strategy create an post as practice. use Qualitative method documentation ...

The human linguistic capacity is subject to multiple influences both within and outside the language system. Among the factors that have been found to have a particularly robust influence on efficiency of language processing is how similar or different a word is relative to other words. Similarities and differences among words can be examined at the phonological, orthographic, lexical, and sema...

Many machine learning applications require the ability to learn from and reason about noisy multi-relational data. To address this, several effective representations have been developed that provide both a language for expressing the structural regularities of a domain, and principled support for probabilistic inference. In addition to these two aspects, however, many applications also involve ...

Latent Semantic Analysis (LSA) is a computational theory of meaning. Meanings of words are extracted from a large corpus of texts by a statistical method and represented as vectors in a semantic space. It is known that similarities of word-pairs computed by LSA can explain various language processing of human(e.g., Landauer and Dumais, 1997). To know features of LSA, we created four semantic sp...

Many Chinese words similarity measure algorithms have been introduced since it’s a fundamental issue in various tasks of natural language processing. Previous work focused mainly on using existing semantic knowledge bases or large-scale corpora. However, knowledge base and corpus have limitations for broad coverage and data update. Thus, ensemble learning is then used to improve performance by ...

OCL (Object Constraint Language) is an expression language to specify constraints and to refine UML diagrams to make them understandable for a computer. It is an important language in Model-Driven Architecture (MDA). OWL (Web Ontology Language) is an ontology language for semantic Web. So what is the relationship between OCL and OWL? Can they complement each other for semantic integration? We e...

This study aims to develop a phonetic similarity measurement method across Asian languages. The method, cross-language similarity algorithm aggregates the transcription of language-specific Romanization, the International Phonetic Alphabet, the Soundex algorithm, and Levenshtein distance. To evaluate the proposed algorithm, this study involves an experiment using ninety-two chemical element nam...

For decades, researchers have attempted to determine whether language development of children with SLI is delayed or deviant (for an overview see Leonard, 2014). This question has been addressed by comparing children with SLI to younger language-matched children to determine similarities/ differences in their linguistic profile. The current study offers a novel approach, comparing bilingual chi...