PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,205 words searched).

  1. you're gonna cut my hair ? FAT · eng_USA_Demetras_Trevor/tre04.cha, line 19 · Trevor 2;01
  2. sure, I'll cut your hair . FAT · eng_USA_Demetras_Trevor/tre04.cha, line 42 · Trevor 2;01
  3. I'll cut your hair . FAT · eng_USA_Demetras_Trevor/tre04.cha, line 46 · Trevor 2;01
  4. should I cut this piece here ? FAT · eng_USA_Demetras_Trevor/tre04.cha, line 50 · Trevor 2;01
  5. we cut more ? FAT · eng_USA_Demetras_Trevor/tre04.cha, line 61 · Trevor 2;01
  6. you cut mine some more, okay ? FAT · eng_USA_Demetras_Trevor/tre04.cha, line 79 · Trevor 2;01
  7. you cut my hair off, didn't you ? FAT · eng_USA_Demetras_Trevor/tre04.cha, line 140 · Trevor 2;01
  8. with that you curl it and with the other one you cut it off, right ? FAT · eng_USA_Demetras_Trevor/tre04.cha, line 471 · Trevor 2;01
  1. CHIhey .
    CHII gun [: going] cut your hair .
    FAT*FAT: you're gonna cut my hair ?
    CHIyuck .
    FATyuck ?
  2. FATwhy'd you say that ?
    CHI(h)e gun [: going] cut my hair .
    FAT*FAT: sure, I'll cut your hair .
    FAThere, turn around .
    FATI'll cut your hair .
  3. FATsure, I'll cut your hair .
    FAThere, turn around .
    FAT*FAT: I'll cut your hair .
    FATsit down .
    FATshould I cut this piece here ?
  4. FATI'll cut your hair .
    FATsit down .
    FAT*FAT: should I cut this piece here ?
    FATsnip snip .
    FAThere, you want it ?
  5. FAThere, you want it ?
    FATah: .
    FAT*FAT: we cut more ?
    CHIick .
    CHIyuck .
  6. CHIyuck .
    FATyuck .
    FAT*FAT: you cut mine some more, okay ?
    CHItsee [: see] it ?
    FATI see it .
  7. FATthat's your cutter ?
    CHIsee it ?
    FAT*FAT: you cut my hair off, didn't you ?
    CHIyuck !
    FATyou threw it on .
  8. CHII I go(t) crew you # crew you hair .
    FATyeah .
    FAT*FAT: with that you curl it and with the other one you cut it off, right ?
    CHIno .
    FATan make a hamburger out of it .

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. Trevor eng_USA_Demetras_Trevor6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/tre04.chaTrevor 2;1.051,205886.64

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. cut8 · 100.0%