Online freelancing and impact sourcing have in recent years emerged as new models for offshore service delivery. Both the potential of spreading gains online work. Based on empirical research Philippines, this article examines how both integrate outlying areas more marginalized workers international networks The different information communication technologies (ICT)-enabled delivery were observ...

synesthesia is an extended  type of poetic image through transferring five  natural senses of human from a sense to another which poet creates by expanding his imagination and producing and influencing images on the audience. the  present study has investigated synesthesia in poems of abol qasem ahshabi and sohrab sepehri since this phenomenon influences and  attracts audience's attention ...

Lexical ambiguity—the phenomenon of a single word having multiple, distinguishable senses—is pervasive in language. Both the degree ambiguity (roughly, its number senses) and relatedness those senses have been found to widespread effects on language acquisition processing. Recently, distributional approaches semantics, which word's meaning is determined by contexts, led successful research quan...

Human language relies on a finite lexicon to express a potentially infinite set of ideas. A key result of this tension is that words acquire novel senses over time. However, the cognitive processes that underlie the historical emergence of new word senses are poorly understood. Here, we present a computational framework that formalizes competing views of how new senses of a word might emerge by...

Word sense induction (WSI) is the task aimed at automatically identifying the senses of words in texts, without the need for handcrafted resources or annotated data. Up till now, most WSI algorithms extract the different senses of a word ‘locally’ on a per-word basis, i.e. the different senses for each word are determined separately. In this paper, we compare the performance of such algorithms ...

This paper presents an analysis of the polysemic senses of lexical items related to the conceptual domain of WEIGHT. This study is set within the framework of cognitive lexical semantics, where lexical items are assumed to constitute natural categories of related senses, which are organized in polysemic networks by cognitive principles such as metaphor, which motivate relations among the differ...

In this paper, we present an approach for visualizing image query senses. Image queries usually have several senses, which can describe the meanings of themselves. However, senses like ‘hot’ might not be concrete, thus we need to find out visual concepts to visualize these image query senses. We propose a novel approach to discover the visual concepts for image queries based on several statisti...

In this paper we show that an unsupervised method for ranking word senses automatically can be used to identify infrequently occurring senses. We demonstrate this using a ranking of noun senses derived from the BNC and evaluating on the sense-tagged text available in both SemCor and the SENSEVAL-2 English all-words task. We show that the method does well at identifying senses that do not occur ...

Supervised word sense disambiguation requires training corpora that have been tagged with word senses, and these word senses typically come from a pre-existing sense inventory. Space limitations imposed by dictionary publishers have biased the field towards lists of discrete senses for an individual lexeme. This approach does not capture information about relatedness of individual senses. How i...

Decades of lexical ambiguity research has rigorously studied effects of relative sense frequency on sense disambiguation in biased contexts, while fundamental semantic issues such as distinction of different types of ambiguities, or influences from lexical meanings’ semantic nature (e.g., literal or metaphorical) as well as these meanings’ degrees of conventionalization, have received less atte...