6,323 research outputs found
Better text compression from fewer lexical n-grams
Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding data sparseness. These ill-effects can be mitigated in an adaptive lossless compression scheme by modelling syntactic and semantic lexical dependencies independently
Miley Cyrus, SinĂ©ad OâConnor and the future of feminism
Since her tongue-poking and “twerk”-filled performance at the American Video Music Awards, Miley Cyrus has been the subject of intense media discussion. This has only magnified in the past week, after Irish singer Sinéad O’Connor wrote an open letter to Cyrus, imploring her to “refuse to exploit your body or your sexuality in order for men to make money from you". Cyrus did not react well to being chided by one of her idols and her tweets in response have provoked two further open letters by O’Connor
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