Translation of Chinese Internet Catchword from the Perspective of Eco-Translatology

Internet catchwords are characterized by flexibility, vividness and conciseness. In addition to their basic semantic features, most of the Internet catchwords often contain deeper cultural meanings and purposes of communication. Eco-translatology is a new translation theory developed on “translation theory of adaptation and selection”, which focuses on the integrity of translational ecosystem and adheres to the “theory of translator-centeredness”. This paper attempts to explore the translation of Internet catchwords from the linguistic, cultural and communicative dimensions of eco-translatology to promote the development of English translation of Chinese Internet catchwords, promoting and accelerating the spread of Chinese Internet catchwords and Internet culture

Eco-translatology and Translation Teaching

Eco-translatology, a new translation theory, was developed on “translation theory of adaptation and selection”. It focuses on the integrity of translational ecosystem and adheres to the “theory of translator-centeredness”. From the perspective of eco-translatology, this paper attempts to explore new translation teaching mode, translation teaching eco-environment, as well as students’ and teachers’ roles in the entire translation teaching eco-environment, thereby promoting translation teaching reform and improving the quality of translation talents

Prototype Account of Tense-Aspect Morphology Acquisition—A Review and Its Prospect

Language is one of the greatest human inventions. Linguists have been working on how language works and how people learn language. Theories in second language acquisition and cognitive science have been combined to explain how verbs are acquired. Tense and aspect are two of the most important grammatical systems of verbs for expressing temporal concepts in the world. According to past research, prototypical verbs would be acquired more easily and readily than the less prototypical verbs. This review would cover recent studies on prototype account of tense-aspect morphology acquisition and suggest future research possibilities.Key words: Second language acquisition; Prototype theory; Morpholog

Unified Classification of Nominal Classifiers and Formalization of Classifier-noun Phrases

One of the main problems that affect the quality of machine translation is how to express the knowledge of language in precision. Based on the theory of Semantic Element (SE) in Unified Linguistics, a new unified classification of English and Chinese nominal classifiers is proposed from the perspective of C-E and E-C translation. Different Semantic Element Representations (SER) of classifiers in English and Chinese have the same semantic type of classifiers. The English and Chinese noun-classifier phrases are formalized into English and Chinese SER respectively. Key words: Chinese Classifier-Noun Phrase; Classification of Nominal Classifiers; Formalization; SE; SE

Uplink precoding optimization for NOMA cellular-connected UAV networks

Unmanned aerial vehicles (UAVs) are playing an important role in wireless networks, due to their cost effectiveness and flexible deployment. Particularly, integrating UAVs into existing cellular networks has great potential to provide high-rate and ultra-reliable communications. In this paper, we investigate the uplink transmission in a cellular network from a UAV using non-orthogonal multiple access (NOMA) and from ground users to base stations (BSs). Specifically, we aim to maximize the sum rate of uplink from UAV to BSs in a specific band as well as from the UAV’s co-channel users to their associated BSs via optimizing the precoding vectors at the multi-antenna UAV. To mitigate the interference, we apply successive interference cancellation (SIC) not only to the UAV-connected BSs, but also to the BSs associated with ground users in the same band. The precoding optimization problem with constraints on the SIC decoding and the transmission rate requirements is formulated, which is non-convex. Thus, we introduce auxiliary variables and apply approximations based on the first-order Taylor expansion to convert it into a second-order cone programming. Accordingly, an iterative algorithm is designed to obtain the solution to the problem with low complexity. Numerical results are presented to demonstrate the effectiveness of our proposed scheme