Hollow Words

Improving back-off models with bag of words and hollow-grams

Classical n-grams models lack robustness on unseen events. The literature suggests several smoothing methods: empirically, the most effective of these is the modified Kneser-Ney approach. We propose to improve this back-off model: our method boils down to back-off value reordering, according to the mutual information of the words, and to a new hollow-gram model. Results show that our back-off m...

Words, words, words

‘Words, words, words.’ This was Hamlet’s reply to Polonius’ question, ‘What do you read, my lord?’ (Shakespeare, 1603) [1]. By repeating the word three times, Hamlet suggests that what he is reading is meaningless. Before launching the journal Archives of Public Health, we have asked ourselves: ‘Do we not already produce too many words too many journals?’ or in other words ‘What is the added va...

"Words, words, words".

The aim of this paper is to call to attention a very large and important area of human factors engineering that is almost entirely neglected. This area consists of the language and the words that are attached to the tools, machines, systems, and operations with which human factors engineers are concerned. Examples, illustrations, and data are cited to show that changes in the words used in man-...

"clustering Words" Clustering Words Clustering Words

Hollow Core ?

We carried out the Gaussian fitting to the profile of PSR B1237+25 and found that six components rather than five are necessary to make a good fit. In the central part, we found that the core emission is not filled pencil beam but is a small hollow cone. This implies that the impact angle could be β < 0.5 •. The " hollow core " is in agreement with Inverse Compton Scattering model of radio puls...