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While_CS some_DD people_NN say_VV0 that_CST we_PPIS2 should_VM read_VVI selectively_RR and_CC other_JJ say_VVI that_CST we_PPIS2 should_VM read_VVI intensively_RR ,_, I_PPIS1 try_VV0 to_TO read_VVI in_II both_DB2 fashions_NN2 ,_, depending_II21 on_II22 my_APPGE interests_NN2 ._. 
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At_II different_JJ times_NNT2 in_II my_APPGE life_NN1 ,_, I_PPIS1 have_VH0 read_VVN very_RG intensively_RR ,_, for_REX21 example_REX22 ,_, when_CS I_PPIS1 was_VBDZ in_II university_NN1 ,_, I_PPIS1 read_VV0 very_RG deeply_RR in_II American_JJ literature_NN1 ._. 
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Once_RR for_IF a_AT1 whole_JJ year_NNT1 ,_, I_PPIS1 studied_VVD and_CC thus_RR read_VVN almost_RR all_DB of_IO Shakespeare_NP1 's_GE histories_NN2 ,_, comedies_NN2 ,_, and_CC tragedies_NN2 ._. 
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One_MC1 semester_NN1 ._. 
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I_PPIS1 read_VV0 only_RR Russian_JJ literature_NN1 ._. 
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At_II the_AT same_DA time_NNT1 ,_, this_DD1 reading_NN1 was_VBDZ also_RR selective_JJ ,_, as_CSA I_PPIS1 was_VBDZ specifically_RR choosing_VVG one_MC1 national_JJ literature_NN1 over_II another_DD1 at_II that_DD1 particular_JJ time_NNT1 in_II my_APPGE life_NN1 ._. 
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One_MC1 summer_NNT1 ,_, I_PPIS1 was_VBDZ renting_VVG the_AT home_NN1 of_IO a_AT1 Jewish_JJ family_NN1 with_IW a_AT1 very_RG large_JJ library_NN1 ,_, and_CC I_PPIS1 read_VV0 a_AT1 number_NN1 of_IO the_AT books_NN2 on_II Jewish_JJ history_NN1 or_CC literature_NN1 ._. 
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I_PPIS1 had_VHD to_TO read_VVI selectively_RR ,_, however_RR ,_, as_CSA some_DD books_NN2 were_VBDR in_II the_AT Jewish_JJ language_NN1 ,_, and_CC thus_RR ,_, I_PPIS1 had_VHD to_TO read_VVI only_RR those_DD2 books_NN2 which_DDQ interested_VVD me_PPIO1 in_II English_NN1 ._. 
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My_APPGE view_NN1 on_II this_DD1 matter_NN1 is_VBZ that_CST we_PPIS2 should_VM always_RR be_VBI reading_VVG as_RG much_DA1 and_CC as_CSA widely_RR as_CSA possible_JJ ._. 
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By_II doing_VDG this_DD1 ,_, we_PPIS2 improve_VV0 our_APPGE range_NN1 of_IO knowledge_NN1 ,_, as_II31 well_II32 as_II33 our_APPGE vocabulary_NN1 ._. 
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For_IF a_AT1 number_NN1 of_IO years_NNT2 ,_, I_PPIS1 tried_VVD to_TO read_VVI two_MC books_NN2 a_AT1 month_NNT1 ,_, which_DDQ were_VBDR not_XX connected_VVN with_IW my_APPGE academic_JJ areas_NN2 of_IO expertise_NN1 ._. 
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This_DD1 meant_VVD that_CST I_PPIS1 had_VHD at_RR21 least_RR22 expanded_VVN my_APPGE knowledge_NN1 by_II twenty-four_MC books_NN2 annually_RR ._. 
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More_RGR often_RR ,_, in_II the_AT US_NP1 when_CS I_PPIS1 lived_VVD in_II the_AT Washington_NP1 Post_NN1 delivery_NN1 area_NN1 ,_, or_CC later_RRR when_CS I_PPIS1 lived_VVD in_II the_AT New_NP1 York_NP1 Times_NNT2 distribution_NN1 area_NN1 ,_, I_PPIS1 would_VM either_RR read_VVI the_AT paper_NN1 on_II a_AT1 daily_JJ or_CC at_RR21 least_RR22 on_II a_AT1 Sunday_NPD1 basis_NN1 ,_, when_CS the_AT paper_NN1 might_VM reach_VVI 300_MC pages_NN2 ._. 
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If_CS I_PPIS1 spent_VVD 3-4_MCMC hours_NNT2 reading_VVG the_AT Sunday_NPD1 paper_NN1 ,_, I_PPIS1 would_VM read_VVI both_RR selectively_RR and_CC intensively_RR as_CSA my_APPGE interests_NN2 at_II the_AT time_NNT1 developed_VVN ._. 
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In_II this_DD1 way_NN1 ,_, I_PPIS1 was_VBDZ almost_RR reading_VVG the_AT equivalent_NN1 of_IO a_AT1 large_JJ amount_NN1 of_IO a_AT1 book_NN1 on_II a_AT1 weekly_JJ basis_NN1 ._. 
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I_PPIS1 also_RR read_VVD Newsweek_NP1 ,_, Time_NNT1 ,_, and_CC more_RGR recently_RR The_AT Washington_NP1 Post_NN1 weekly_RR regularly_RR ._. 
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I_PPIS1 was_VBDZ regularly_RR reading_VVG various_JJ other_JJ magazines_NN2 ._. 
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I_PPIS1 figured_VVD that_CST the_AT broader_JJR my_APPGE knowledge_NN1 development_NN1 by_II reading_NN1 ,_, by_II watching_VVG useful_JJ TV_NN1 programs_NN2 ,_, and_CC by_II searching_VVG the_AT Internet_NN1 ,_, the_AT better_RRR I_PPIS1 could_VM give_VVI intelligent_JJ lectures_NN2 to_II my_APPGE students_NN2 and_CC become_VV0 more_RGR well_RR rounded_VVN too_RR ._. 
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