PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. baby doll ? MOT · eng_USA_Brown/sarah009.cha, line 122 · Sarah 2;04
  2. baby doll ? MOT · eng_USA_Brown/sarah009.cha, line 124 · Sarah 2;04
  3. what's the name of the baby ? MOT · eng_USA_Brown/sarah009.cha, line 543 · Sarah 2;04
  4. I know # toy # but what's the name of the baby ? MOT · eng_USA_Brown/sarah009.cha, line 547 · Sarah 2;04
  5. (a)n(d) what's the name of the baby ? MOT · eng_USA_Brown/sarah009.cha, line 555 · Sarah 2;04
  1. MOThuh ?
    CHI0 .
    MOT*MOT: baby doll ?
    MOTbaby doll ?
    CHIa big gi(rl) girl .
  2. CHI0 .
    MOTbaby doll ?
    MOT*MOT: baby doll ?
    CHIa big gi(rl) girl .
    CHII too he(av)y .
  3. MOTmmhm .
    CHItoy xxx ?
    MOT*MOT: what's the name of the baby ?
    CHItoy .
    MOTI know # toy # but what's the name of the baby ?
  4. MOTwhat's the name of the baby ?
    CHItoy .
    MOT*MOT: I know # toy # but what's the name of the baby ?
    CHIxxx .
    MOTSanta_Claus is going to bring you # yeah .
  5. CHIxxx .
    MOTSanta_Claus is going to bring you # yeah .
    MOT*MOT: (a)n(d) what's the name of the baby ?
    CHIxxx Tickle .
    MOTTickle_Baby ?

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_Brown3.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264553.96

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. baby5 · 100.0%