PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

18.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (113 utterances, 384 words searched).

  1. look at Mommy's tower she's making ! MOT · eng_USA_Bates/zeke20.cha, line 39 · Zeke 1;08
  2. look at this tower ! MOT · eng_USA_Bates/zeke20.cha, line 43 · Zeke 1;08
  3. look at that tower # Zeke ! MOT · eng_USA_Bates/zeke20.cha, line 48 · Zeke 1;08
  4. look at this ! MOT · eng_USA_Bates/zeke20.cha, line 134 · Zeke 1;08
  5. does that look like a dog to you ? MOT · eng_USA_Bates/zeke20.cha, line 390 · Zeke 1;08
  6. that look like a dog to you ? MOT · eng_USA_Bates/zeke20.cha, line 395 · Zeke 1;08
  7. look at that nice table . MOT · eng_USA_Bates/zeke20.cha, line 410 · Zeke 1;08
  1. eng_USA_Bates/zeke20.cha, line 39 · Zeke, 1;8.
    MOT0 [=! gasps] .
    CHIoh !
    MOT*MOT: look at Mommy's tower she's making !
    MOTlook at this tower !
    CHI0 .
  2. eng_USA_Bates/zeke20.cha, line 43 · Zeke, 1;8.
    CHIoh !
    MOTlook at Mommy's tower she's making !
    MOT*MOT: look at this tower !
    CHI0 .
    MOTlook at that tower # Zeke !
  3. eng_USA_Bates/zeke20.cha, line 48 · Zeke, 1;8.
    MOTlook at this tower !
    CHI0 .
    MOT*MOT: look at that tower # Zeke !
    CHI0 .
    CHI0 .
  4. eng_USA_Bates/zeke20.cha, line 134 · Zeke, 1;8.
    CHI0 .
    MOToh .
    MOT*MOT: look at this !
    MOTZeke ?
    MOTwan(t) (t)a put that in here ?
  5. eng_USA_Bates/zeke20.cha, line 390 · Zeke, 1;8.
    CHIyyy .
    MOTdoggie ?
    MOT*MOT: does that look like a dog to you ?
    MOThmm ?
    MOTthat look like a dog to you ?
  6. eng_USA_Bates/zeke20.cha, line 395 · Zeke, 1;8.
    MOTdoes that look like a dog to you ?
    MOThmm ?
    MOT*MOT: that look like a dog to you ?
    MOTand what +...
    MOToh boy .
  7. eng_USA_Bates/zeke20.cha, line 410 · Zeke, 1;8.
    MOTtable .
    CHI0 .
    MOT*MOT: look at that nice table .
    MOTit's a grill .
    MOT<this fit> [/] this fit there ?

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. Zeke eng_USA_Bates18.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/zeke20.chaZeke 1;8.3847718.23

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. look7 · 100.0%