PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,712 words searched).

  1. as you come up from the Mass Turnpike # it said no parking . MOT · eng_USA_Brown/sarah093.cha, line 567 · Sarah 4;01
  2. we couldn't find the parking lot . MOT · eng_USA_Brown/sarah093.cha, line 597 · Sarah 4;01
  3. <there isn't any> [//] there's a little parking lot way down behind there # you go down # then you go up and down . MOT · eng_USA_Brown/sarah093.cha, line 635 · Sarah 4;01
  4. it was the same parking lot ? MEL · eng_USA_Brown/sarah093.cha, line 654 · Sarah 4;01
  5. down at the Stop_and_Shop parking lot he had her sitting in his lap and she was steerin(g) the car . MOT · eng_USA_Brown/sarah093.cha, line 677 · Sarah 4;01
  1. MOTwe come out +...
    MOTI had taken the Mass Turnpike in +...
    MOT*MOT: as you come up from the Mass Turnpike # it said no parking .
    MOTso # y(ou) know # we parked and said +"/.
    MOT+" let's get out o(f) here .
  2. MELuhhuh .
    MOTyou know they've got the big escalators to go up # and everything .
    MOT*MOT: we couldn't find the parking lot .
    MOTwe're standin(g) there # killin(g) ourselves laughing .
    MOTfor an hour we kept walkin(g) up and down # up and down .
  3. MOTfinally he said # +"/.
    MOT+" I don't know where you could've put it .
    MOT*MOT: <there isn't any> [//] there's a little parking lot way down behind there # you go down # then you go up and down .
    MOThe said # +"/.
    MOT+" the cars always get towed away and it'll cost you eight dollars .
  4. MOTfinally we found the car .
    MOTit was still there .
    MEL*MEL: it was the same parking lot ?
    MOTyeah .
    MELthe towing away one ?
  5. MOTyeah .
    CHII know how to drive .
    MOT*MOT: down at the Stop_and_Shop parking lot he had her sitting in his lap and she was steerin(g) the car .
    MOTare you good [/] # good at steerin(g) ?
    CHIyup # I steer easy .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah093.chaSarah 4;1.281,712552.92

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. parking5 · 100.0%