PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (465 utterances, 1,749 words searched).

  1. [- CHI giggles and makes elephant kiss inv] he gave me a kiss . INV · eng_USA_Valian/16a.cha, line 143 · 16A 2;05
  2. [- pretending to talk to porcupine] are you gonna give me a kiss too ? INV · eng_USA_Valian/16a.cha, line 248 · 16A 2;05
  3. nope, you want me to hit you . INV · eng_USA_Valian/16a.cha, line 390 · 16A 2;05
  4. he's gonna lick me ? MOT · eng_USA_Valian/16a.cha, line 499 · 16A 2;05
  5. how (a)bout if you do that to me and we'll see +... MOT · eng_USA_Valian/16a.cha, line 610 · 16A 2;05
  6. show me my spot . MOT · eng_USA_Valian/16a.cha, line 896 · 16A 2;05
  1. eng_USA_Valian/16a.cha, line 143 · 16A, 2;5.10
    MOTnot in my eye .
    MOTwhat's he doing with his trunk ?
    INV*INV: [- CHI giggles and makes elephant kiss inv] he gave me a kiss .
    CHIin your eye .
    INVyeah .
  2. eng_USA_Valian/16a.cha, line 248 · 16A, 2;5.10
    MOTeverybody has kisses tonight, huh ?
    MOTyeah .
    INV*INV: [- pretending to talk to porcupine] are you gonna give me a kiss too ?
    INVhi, porcupine .
    INVcan you say porcupine ?
  3. eng_USA_Valian/16a.cha, line 390 · 16A, 2;5.10
    CHII got him .
    INVgonna catch ?
    INV*INV: nope, you want me to hit you .
    MOTthere goes that duck [% inv laughs] .
    CHIMama, wanna play catch ?
  4. eng_USA_Valian/16a.cha, line 499 · 16A, 2;5.10
    CHIwoo, woo .
    CHIhe's gonna lick you .
    MOT*MOT: he's gonna lick me ?
    MOThmm .
    CHI[- to inv] he's gonna lick you .
  5. eng_USA_Valian/16a.cha, line 610 · 16A, 2;5.10
    MOTlay down ?
    CHIand you and you +...
    MOT*MOT: how (a)bout if you do that to me and we'll see +...
    MOTwhat are you gonna do ?
    MOTshow us what you're gonna do .
  6. eng_USA_Valian/16a.cha, line 896 · 16A, 2;5.10
    MOTthere is ?
    MOTwhere should I go ?
    MOT*MOT: show me my spot .
    CHIright here .
    MOTthat little spot right 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. 16A eng_USA_Valian3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/16a.cha16A 2;5.101,749663.43

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. me6 · 100.0%