PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

4.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 1,921 words searched).

  1. I'm goin(g) to jump out a window is right . MOT · eng_USA_Brown/sarah060.cha, line 421 · Sarah 3;05
  2. you tell I'm gonna jump out a window . MOT · eng_USA_Brown/sarah060.cha, line 424 · Sarah 3;05
  3. I don't know what I'm goin(g) to do with ya . MOT · eng_USA_Brown/sarah060.cha, line 660 · Sarah 3;05
  4. I need a pair of ear muffs so I can concentrate <when I'm> [/] # when I'm thinkin(g) about . MOT · eng_USA_Brown/sarah060.cha, line 919 · Sarah 3;05
  5. I need a pair of ear muffs so I can concentrate <when I'm> [/] # when I'm thinkin(g) about . MOT · eng_USA_Brown/sarah060.cha, line 919 · Sarah 3;05
  6. I'm going to call Sarah on the telephone . KEN · eng_USA_Brown/sarah060.cha, line 1097 · Sarah 3;05
  7. now I'll know where they are when I'm lookin(g) for them . MOT · eng_USA_Brown/sarah060.cha, line 1188 · Sarah 3;05
  8. but I'm going to listen to what you say . KEN · eng_USA_Brown/sarah060.cha, line 1263 · Sarah 3;05
  9. and then I'm going to go and talk to Santa_Claus . KEN · eng_USA_Brown/sarah060.cha, line 1266 · Sarah 3;05
  1. CHIyou .
    MOTxxx .
    MOT*MOT: I'm goin(g) to jump out a window is right .
    MOTyou tell I'm gonna jump out a window .
    CHIin that window .
  2. MOTxxx .
    MOTI'm goin(g) to jump out a window is right .
    MOT*MOT: you tell I'm gonna jump out a window .
    CHIin that window .
    MOTwhat's Auntie got on ?
  3. CHIoh+boy !
    CHII got two clownies .
    MOT*MOT: I don't know what I'm goin(g) to do with ya .
    CHIwhy ?
    CHIwhy ?
  4. CHIuh .
    MOTthat's what I need with you around .
    MOT*MOT: I need a pair of ear muffs so I can concentrate <when I'm> [/] # when I'm thinkin(g) about .
    CHIuh .
    CHIgive it to [/] # to Kent .
  5. CHIxxx .
    CHII wanna go .
    KEN*KEN: I'm going to call Sarah on the telephone .
    MOTif you xxx later .
    GRAgo ahead # Sarah .
  6. MOTI should put these on my head .
    MOTalright ?
    MOT*MOT: now I'll know where they are when I'm lookin(g) for them .
    CHIthose are ear+muffers [*] .
    MOTthat's what I need with you around is a pair of ear+muffs .
  7. CHI# that's Santa_Claus in there [= inside microphone] ?
    KENno .
    KEN*KEN: but I'm going to listen to what you say .
    KENand then I'm going to go and talk to Santa_Claus .
    CHIthat Santa_Claus in there .
  8. KENno .
    KENbut I'm going to listen to what you say .
    KEN*KEN: and then I'm going to go and talk to Santa_Claus .
    CHIthat Santa_Claus in there .
    CHISanta_Claus .

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_Brown4.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah060.chaSarah 3;5.011,921894.69

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. i'm9 · 100.0%