PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,319 words searched).

  1. just a little bit . MOT · eng_USA_Brown/sarah087.cha, line 407 · Sarah 4;00
  2. I think the little mice are for xxx . MOT · eng_USA_Brown/sarah087.cha, line 610 · Sarah 4;00
  3. you're a funny little girl ? MOT · eng_USA_Brown/sarah087.cha, line 837 · Sarah 4;00
  4. oh # we used to eat all kinds of cereal when I was a little girl . MOT · eng_USA_Brown/sarah087.cha, line 1007 · Sarah 4;00
  5. that's a little lion . MOT · eng_USA_Brown/sarah087.cha, line 1341 · Sarah 4;00
  6. little Uncle_Tommy . MOT · eng_USA_Brown/sarah087.cha, line 1353 · Sarah 4;00
  7. well # he's a little bigger than that . MOT · eng_USA_Brown/sarah087.cha, line 1386 · Sarah 4;00
  1. MOTit gets all the # itch out of it .
    CHIdon't spray it .
    MOT*MOT: just a little bit .
    MOT(be)cause you don't want to scratch it .
    MOTthere .
  2. CHII'm howlin(g) all over xxx .
    CHIwant to have a nice xxx ?
    MOT*MOT: I think the little mice are for xxx .
    MOTSarah # that's for xxx .
    CHIo:h # Mama .
  3. MOTI don't know .
    MOTI think you're a funny girl .
    MOT*MOT: you're a funny little girl ?
    CHIoh .
    CHIoh .
  4. MOTum .
    CHIwhen ?
    MOT*MOT: oh # we used to eat all kinds of cereal when I was a little girl .
    CHII can kick ya .
    CHII can kick you # Mama .
  5. MOTwait a minute .
    MOTthat's not a teddy+bear .
    MOT*MOT: that's a little lion .
    MOTwho gave you the lion ?
    MOTwho gave it to you ?
  6. MOTTommy (a)n(d) Mary Anne .
    MOTTommy .
    MOT*MOT: little Uncle_Tommy .
    CHInot Uncle_Tommy .
    CHITommy .
  7. CHIyeah .
    CHIonly a little baby one # like .
    MOT*MOT: well # he's a little bigger than that .
    CHIMommy .
    MOTwhat ?

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_Brown5.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah087.chaSarah 4;0.051,319775.31

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. little7 · 100.0%