PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. # what's goin(g) on . MOT · eng_USA_Brown/sarah087.cha, line 88 · Sarah 4;00
  2. what's backwards ? FAT · eng_USA_Brown/sarah087.cha, line 266 · Sarah 4;00
  3. what's that called ? FAT · eng_USA_Brown/sarah087.cha, line 769 · Sarah 4;00
  4. what's the other one . MOT · eng_USA_Brown/sarah087.cha, line 1086 · Sarah 4;00
  5. what's the one you have ? MOT · eng_USA_Brown/sarah087.cha, line 1088 · Sarah 4;00
  6. what's the matter with you . MOT · eng_USA_Brown/sarah087.cha, line 1174 · Sarah 4;00
  1. eng_USA_Brown/sarah087.cha, line 88 · Sarah, 4;0.05
    CHIoh .
    MOTI'll yell down to Blanche (a)n(d) tell her to put it on .
    MOT*MOT: # what's goin(g) on .
    CHII'm twist # his head .
    FATmight come off .
  2. eng_USA_Brown/sarah087.cha, line 266 · Sarah, 4;0.05
    CHI(a)n(d) he go backwards .
    CHIcan he go backwards too ?
    FAT*FAT: what's backwards ?
    CHIbackwards like this .
    FAThis head go back ?
  3. eng_USA_Brown/sarah087.cha, line 769 · Sarah, 4;0.05
    FATtell me what you're doing .
    FATthank+you .
    FAT*FAT: what's that called ?
    MOTSarah +...
    CHIturn # legs over .
  4. eng_USA_Brown/sarah087.cha, line 1086 · Sarah, 4;0.05
    CHII get Bobby huh ?
    MOTher name is Scooter # Sarah # not Bobby .
    MOT*MOT: what's the other one .
    MOTwhat's the one you have ?
    MOTuh .
  5. eng_USA_Brown/sarah087.cha, line 1088 · Sarah, 4;0.05
    MOTher name is Scooter # Sarah # not Bobby .
    MOTwhat's the other one .
    MOT*MOT: what's the one you have ?
    MOTuh .
    CHISkip (a)n(d) Bobby .
  6. eng_USA_Brown/sarah087.cha, line 1174 · Sarah, 4;0.05
    MOTnow don't .
    MOTsit up now (a)n(d) drink your tonic .
    MOT*MOT: what's the matter with you .
    MOToh (a)n(d) she got some beautiful clothes .
    MOTdidn't you ?

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_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah087.chaSarah 4;0.051,319664.55

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. what's6 · 100.0%