go - give support (to) or make a choice (of) one out of a group or number; "I plumped for the losing candidates" plump choose, pick out, select, take - pick out, select, or choose from a number of alternatives; "Take any one of these cards"; "Choose a good husband for your...
“This is an excellent, harmonious and fortunate number of courage and power, with a touch of enchantment. It blesses the person or entity it represents with a promise of authority and command. It guarantees that great rewards will come from the productive labors, the intellect, and the imagin...
anumber anxiety anxious anya anybody anyhoo anyhow anylonger anymore anymosity anyone anyplace anythin anything anythng anytime anyway anyways anywhere anywho anywhoo anzac anzthing aoltimewarner apace apallingly aparo apart apathy apes apex aphorism aphrodisiac apian apiece apig apihimaungahoronuku...
I haven’t read much Japanese literature so when I sawMieko Kawakami’snovelBreasts and Eggsat a booksale I picked it up, recalling it had caused much interest among readers at the time of its translation into English. It caused a significant reaction in Japan when originally published, a b...
A deep analysis of the vector distributions reveals that there is no one-size-fits-all solution for generating semantic word embeddings; the choice of method should depend on specific design goals and expected outcomes. However, our approach extends traditional methods for creating word vectors. The...
‘, the dance of mothers and their monsters, or the dark shadow of domestic violence, somethingDaltonrecalled about his own mother, who often had to choose between homelessness or ‘the monster’, a terrible choice faced by many women in Australia, for whom domestic and family violence is ...
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The development of a model to quantify semantic similarity and relatedness between words has been the major focus of many studies in various fields, e.g. psychology, linguistics, and natural language processing. Unlike the measures proposed by most previous research, this article is aimed at estima...
embeddings were exploited to determine the sentiment of Arabic reviews. Three deep learning algorithms, convolutional neural networks (CNNs), long short-term memory (LSTM), and a hybrid CNN-LSTM, were introduced. The models used features learned by word embeddings such as Word2Vec and fastText ...
choice choicy choirs choked choker chokes chokey chokos chokra chokri cholas choler cholic cholis cholla cholos chomps choofs chooks chooms choose choosy chopin choppy choral chorda chords chorea chored choree chores choria choric chorus chosen choses chotts chough chouse choush chouts chowed ...