(|Know+ing_VVG| |that_CST| |million+s_NNO2| |of_IO| |people_NN| |around_II| |the_AT| |world_NN1| |would_VM| |be_VB0| |watch+ing_VVG| |in_II| |person_NN1| |and_CC| |on_II| |television_NN1| |and_CC| |expect+ing_VVG| |great_JJ| |thing+s_NN2| |from_II| |he+_PPHO1| |—_VV0| |at_II| |least_RR| |one_MC1| |more_DAR| |gold_NN1| |medal_NN1| |for_IF| |America_NP1| |,_,| |if_CS| |not+_XX| |another_DD1| |world_NN1| |record_NN1| |—_VVN| |during_II| |this_DD1| |,_,| |his_APP$| |fourth_MD| |and_CC| |surely_RR| |his_APP$| |last_MD| |appearance_NN1| |in_II| |the_AT| |World_NN1| |Olympics_NN2| |,_,| |and_CC| |realize+ing_VVG| |that_CST| |his_APP$| |leg+s_NN2| |could_VM| |no_AT| |longer_RRR| |carry_VV0| |he+_PPHO1| |down_RP| |the_AT| |runway_NN1| |with_IW| |the_AT| |same_DA| |blazing_JJ| |speed_NN1| |and_CC| |confidence_NN1| |in_II| |make+ing_VVG| |a_AT1| |huge_JJ| |,_,| |eye-popping_JJ| |leap_NN1| |that_CST| |they_PPHS2| |be+ed_VBDR| |capable_JJ| |of_IO| |a_AT1| |few_DA2| |year+s_NNT2| |ago_RA| |when_CS| |he_PPHS1| |set_VVD| |world_NN1| |record+s_NN2| |in_II| |the_AT| |100-meter_NNU| |dash_NN1| |and_CC| |in_II| |the_AT| |400-meter_NNU| |relay_NN1| |and_CC| |win+ed_VVD| |a_AT1| |silver_JJ| |medal_NN1| |in_II| |the_AT| |long_JJ| |jump_NN1| |,_,| |the_AT| |renowned_JJ| |sprinter_NN1| |and_CC| |track-and-field_NN1| |personality_NN1| |Carl_NP1| |Lewis_NP1| |,_,| |who_PNQS| |have+ed_VHD| |know+en_VVN| |pressure_NN1| |from_II| |fan+s_NN2| |and_CC| |media_NN| |before_RA| |but_CCB| |never_RR| |,_,| |even_RR| |as_CSA| |a_AT1| |professional_JJ| |runner_NN1| |,_,| |this_DD1| |kind_NN1| |of_IO| |pressure_NN1| |,_,| |make+ed_VVD| |only_RR| |a_AT1| |few_DA2| |appearance+s_NN2| |in_II| |race+s_NN2| |during_II| |the_AT| |few_DA2| |month+s_NNT2| |before_RA| |the_AT| |Summer_NN1| |Olympics_NN2| |in_II| |Atlanta_NP1| |,_,| |Georgia_NP1| |,_,| |partly_RR| |because_CS| |he_PPHS1| |be+ed_VBDZ| |afraid_JJ| |of_IO| |raise+ing_VVG| |expectation+s_NN2| |even_RR| |higher_JJR| |and_CC| |he_PPHS1| |do+ed_VDD| |not+_XX| |want_VV0| |to_TO| |be_VB0| |distract+ed_VVN| |by_II| |interview+s_NN2| |and_CC| |adoring_JJ| |fan+s_NN2| |who_PNQS| |would_VM| |follow_VV0| |he+_PPHO1| |into_II| |store+s_NN2| |and_CC| |restaurant+s_NN2| |demand+ing_VVG| |autograph+s_NN2| |and_CC| |photo-opportunity+s_NN2| |,_,| |but_CCB| |mostly_RR| |because_CS| |he_PPHS1| |want+ed_VVD| |to_TO| |conserve_VV0| |his_APP$| |energy+s_NN2| |and_CC| |concentrate_VV0| |,_,| |like_VV0| |a_AT1| |martial_JJ| |art+s_NN2| |expert_JJ| |,_,| |on_II| |the_AT| |job_NN1| |at_II| |hand_NN1| |:_:| |win+ing_VVG| |his_APP$| |favorite_JJ| |competition_NN1| |,_,| |the_AT| |long_JJ| |jump_NN1| |,_,| |and_CC| |bring+ing_VVG| |home_RL| |another_DD1| |Gold_NN1| |Medal_NN1| |for_IF| |the_AT| |United_NP1| |States_NP1| |,_,| |the_AT| |most_DAT| |fitting_NN1| |conclusion_NN1| |to_II| |his_APP$| |brilliant_JJ| |career_NN1| |in_II| |track_NN1| |and_CC| |field_NN1| ._.) 0 ; ()

("T"
 ("VP"
  ("VP" "Know+ing"
   ("S" "that"
    ("NP" "million+s"
     ("PP" "of" ("N1" "people" ("PP" "around" ("NP" "the" "world")))))
    ("VP" "would" "be"
     ("VP"
      ("VP" "watch+ing"
       ("PP" ("PP" "in" ("N1" "person"))
        ("PP" "and" "on" ("N1" "television"))))
      ("VP" "and" "expect+ing"
       ("NP"
        ("NP" ("AP" "great") "thing+s"
         ("PP" "from"
          ("S" "he+"
           ("VP" "—"
            ("PP" "at"
             ("NP" "least" ("NP" "one" ("AP" "more") "gold" "medal")))
            ("PP" "for"
             ("T" ("NP" "America") ","
              ("PP" "if"
               ("S" ("NP" "not+" "another" "world" "record")
                ("VP" "—" ("PP" "during" "this"))))
              ","))))))
        ("NP" ("NP" "his" "fourth")
         ("NP" "and" ("AP" "surely")
          ("NP" "his" "last" "appearance"))))
       ("PP" "in" ("NP" "the" "World" "Olympics")))))))
  ","
  ("VP" "and" "realize+ing"
   ("S" "that" ("NP" "his" "leg+s")
    ("VP" "could" ("AP" "no" "longer") "carry" "he+" "down"
     ("NP" "the" "runway")
     ("PP" "with"
      ("NP" "the" "same" ("AP" "blazing")
       ("N1" "speed" ("N1" "and" "confidence"))))
     ("PP" "in"
      ("VP" "make+ing"
       ("NP" "a" ("AP" "huge") "," ("AP" "eye-popping") "leap"
        ("S" "that" "they" ("VP" "be+ed" ("AP" "capable"))))
       ("PP" "of" ("NP" "a" "few"))))
     ("NP" "year+s" "ago") ("PP" "when" ("S" "he" ("VP" "set")))))))
 "world" "record+s" "in" "the" "100-meter" "dash" "and" "in" "the"
 "400-meter" "relay" "and" "win+ed" "a" "silver" "medal" "in" "the"
 "long" "jump" "," "the" "renowned" "sprinter" "and" "track-and-field"
 "personality" "Carl" "Lewis" "," "who" "have+ed" "know+en" "pressure"
 "from" "fan+s" "and" "media" "before" "but" "never" "," "even" "as"
 "a" "professional" "runner" "," "this" "kind" "of" "pressure" ","
 "make+ed" "only" "a" "few" "appearance+s" "in" "race+s" "during" "the"
 "few" "month+s" "before" "the" "Summer" "Olympics" "in" "Atlanta" ","
 "Georgia" "," "partly" "because" "he" "be+ed" "afraid" "of"
 "raise+ing" "expectation+s" "even" "higher" "and" "he" "do+ed" "not+"
 "want" "to" "be" "distract+ed" "by" "interview+s" "and" "adoring"
 "fan+s" "who" "would" "follow" "he+" "into" "store+s" "and"
 "restaurant+s" "demand+ing" "autograph+s" "and" "photo-opportunity+s"
 "," "but" "mostly" "because" "he" "want+ed" "to" "conserve" "his"
 "energy+s" "and" "concentrate" "," "like" "a" "martial" "art+s"
 "expert" "," "on" "the" "job" "at" "hand" ":" "win+ing" "his"
 "favorite" "competition" "," "the" "long" "jump" "," "and" "bring+ing"
 "home" "another" "Gold" "Medal" "for" "the" "United" "States" ","
 "the" "most" "fitting" "conclusion" "to" "his" "brilliant" "career"
 "in" "track" "and" "field" ".")



Corpus line buffer overflow at '^ She is strong , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent  , good , intelligent , good , intelligent  , good , inte'