Sentence examples for much shorter sentence from inspiring English sources

If Jones were convicted of the same crime today, he would receive a much shorter sentence.

She also did not understand it was her legal right to plead guilty, likely for a much shorter sentence than she ultimately received.

The defendant, frightened, most often poor, uneducated, a minority member is advised that a trial is likely to end with a conviction and a long sentence, whereas a plea will guarantee a much shorter sentence.

One approach is to ignore factors that have not been admitted or proved to a jury, often resulting in much shorter sentences.

But Thomas Mulcair, leader of the opposition New Democratic Party, insisted in the House of Commons that "the British criminal Conrad Black," who strongly backed the Conservatives when he owned a Canadian newspaper chain, received special treatment because several people who had served much shorter sentences in American prisons for nonviolent offenses had been denied permits.

That offense is punishable by up to six months in prison, though prosecutors will likely seek much shorter sentences.

Currently work release is available only to people convicted of non-violent crimes, most of whom are doing much shorter sentences and presumably are removed from the work force and family contact for a shorter period than those charged with crimes of violence.

As a result, the "enemy combatants" the Bush administration sent to Guantanamo and charged in military commissions have received sentences much shorter than those doled out in the federal courts.

In Britain, maximum sentences are much shorter and reductions for plea bargaining are usually smaller, so the incentive to cut a deal is reduced.

That's much shorter than her 35-year original sentence.

> Since this task addresses the classification of sentences which are usually much shorter than paragraphs or the whole articles, the bag-of-words features from a local sentence tend to have high risk of data sparseness (18), which could result in a biased representation for low-frequency words and degrade the classification performance.