Previous metaphor studies have paid much attention to nominal metaphors and predicative metaphors, but little attention has been given to adjective metaphors. Although some studies have focused on adjective metaphors, they only examined differences in the acceptability of various types of adjective metaphors. This paper explores the cognitive effects evoked by adjective metaphors. Three psychol...

One elegant and linguistically powerful guideline for a semantic theory of coordination will be referred to here as the Boolean assumption. According to this assumption conjunctive coordinators like and are described using the cross-categorial Boolean operator of Generalized Conjunction (GC). Symmetrically, disjunctive coordinators like or are modeled by Generalized Disjunction (GD). A common t...

any language foremost is composed of words and words are one of the most important elements in conveying meaning and they have different diversities and levels in conveying this meaning. quranic words are not the exception; therefore, to discover and to understand the different levels of conveying meaning (exterior and inner) by words, the quran reader can be more aware of the meaning and the p...

We consider the problem of how the meanings of words can be grounded in sensor data. A probabilistic representation for the meanings of words is defined, a method for recovering meanings from observational information about word use in the face of referential uncertainty is described, and empirical results with real utterances and robot sensor data are presented.

Changes to our everyday activities mean that adult language users need to learn new meanings for previously unambiguous words. For example, we need to learn that a "tweet" is not only the sound a bird makes, but also a short message on a social networking site. In these experiments, adult participants learned new fictional meanings for words with a single dominant meaning (e.g., "ant") by readi...

Most work on language acquisition treats word segmentation—the identification of linguistic segments from continuous speech— and word learning—the mapping of those segments to meanings—as separate problems. These two abilities develop in parallel, however, raising the question of whether they might interact. To explore the question, we present a new Bayesian segmentation model that incorporates...

In the automatic translation of complicated patent sentences, one of the issues to improve translation quality is to translate verbs in the source language with various meanings to corresponding different words in the target language correctly. This paper proposes the disambiguation method using the word grouping. Verbs with various meanings usually co-occur with their corresponding nouns, and ...

This paper mainly applies the qualia structure theory to the study of compound nouns whose lexical meanings cannot be inferred from their morpheme meanings by taking some undirected disyllabic compound nouns as example from the Chinese Semantic Word-formation Database. The paper concludes some specific ways by which morpheme meanings can be integrated with lexical meanings. It is hoped that the...

Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results inconvenient and time-consuming. In this paper, we propose a new solution to address this issue. Our method groups the search results based on the different meanings of the query. It utilizes the semantic dictionary Wor...

There is a growing need to comprehensively understand how messages and online conversations construct and convey meanings especially when they are likely to be distributed across multiple social media platforms. This paper introduces a framework to address this need, the Social Semiotic Multimodal (SSMM) framework based on multimodal extensions to Systemic Functional Linguistics, a semiotic the...