PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.35 per 1,000 words of the child (CHI), in 1 of 1 transcripts (309 utterances, 1,102 words searched).

  1. when the [/] # the red one turned off # then the other one turned off [/] # off upstairs ? CHI · eng_USA_Brown/sarah094.cha, line 240 · Sarah 4;02
  2. then go on that line . CHI · eng_USA_Brown/sarah094.cha, line 988 · Sarah 4;02
  3. then you go # down and up . CHI · eng_USA_Brown/sarah094.cha, line 1177 · Sarah 4;02
  4. then you g(o) like that . CHI · eng_USA_Brown/sarah094.cha, line 1221 · Sarah 4;02
  5. then like # like that . CHI · eng_USA_Brown/sarah094.cha, line 1247 · Sarah 4;02
  6. then you do this # mmhm . CHI · eng_USA_Brown/sarah094.cha, line 1277 · Sarah 4;02
  7. then it won't hurt my eyes . CHI · eng_USA_Brown/sarah094.cha, line 1343 · Sarah 4;02
  1. FATthat's so the big boats know where they're going .
    FATthey can see out in the water .
    CHI*CHI: when the [/] # the red one turned off # then the other one turned off [/] # off upstairs ?
    FATyeah # remember when you see the light turnin(g) around way out in the ocean ?
    FATGraves lighthouse .
  2. MOTno # up to a point # see ?
    MOTthen down # and over .
    CHI*CHI: then go on that line .
    MOTnow # just cross it .
    MOTjust cross it .
  3. CHIlooks like a sled .
    MOTyeah .
    CHI*CHI: then you go # down and up .
    CHIthat's a k@l # huh ?
    MOTthat's very good .
  4. MOTthat's a little bit too big .
    CHIhey # watch this .
    CHI*CHI: then you g(o) like that .
    CHIknow what that is ?
    MOTwhat ?
  5. CHIyeah .
    CHIsee # you go like that # huh .
    CHI*CHI: then like # like that .
    CHIknow how to make a tree # huh ?
    CHIGilligan's_Island tree .
  6. MOTyeah # that's a tree .
    MOThow about that ?
    CHI*CHI: then you do this # mmhm .
    CHIlike that # do you ?
    MOTyeah .
  7. CHII won't hurt .
    CHII can close my eyes xxx .
    CHI*CHI: then it won't hurt my eyes .
    CHIremember it was Halloween and you had a mask on too ?
    MOTI had a mask on ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown6.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,102776.35

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. then7 · 100.0%