PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. we'll have ice+cream at dancin(g) school . MOT · eng_USA_Brown/sarah058.cha, line 181 · Sarah 3;04
  2. look at your hair . MOT · eng_USA_Brown/sarah058.cha, line 537 · Sarah 3;04
  3. do they have it at a Mally's # I mean # uh # Filene's and Jordan Marsh ? KEN · eng_USA_Brown/sarah058.cha, line 1067 · Sarah 3;04
  4. don't look at me . KEN · eng_USA_Brown/sarah058.cha, line 1400 · Sarah 3;04
  5. no honey # you use that at the beach . MOT · eng_USA_Brown/sarah058.cha, line 1603 · Sarah 3;04
  1. eng_USA_Brown/sarah058.cha, line 181 · Sarah, 3;4.16
    MOTno ya can't have ice+cream .
    MOTit's too early .
    MOT*MOT: we'll have ice+cream at dancin(g) school .
    CHIhuh ?
    MOTafter dancin(g) school .
  2. eng_USA_Brown/sarah058.cha, line 537 · Sarah, 3;4.16
    MOTthat's paint .
    MOTyou in the paint .
    MOT*MOT: look at your hair .
    MOTyour hair looks like somethin(g) I could take off and stick in the washin(g) machine .
    MOT<would that> [//] # should I stick your head in the washin(g) machine ?
  3. eng_USA_Brown/sarah058.cha, line 1067 · Sarah, 3;4.16
    MOTthis one wants this (a)n(d) that .
    MOTthey have the Globe Santa in town .
    KEN*KEN: do they have it at a Mally's # I mean # uh # Filene's and Jordan Marsh ?
    MOToh # yeah .
    MOTFilene's # Jordan's and they have a nice one up in Waltham's Grover Cronin .
  4. eng_USA_Brown/sarah058.cha, line 1400 · Sarah, 3;4.16
    CHICandy_Fashion .
    MOTuh # Baby # uh # Bright # Bridie Bright +...
    KEN*KEN: don't look at me .
    MOTno # Bonnie_Bride .
    MOTthat's it .
  5. eng_USA_Brown/sarah058.cha, line 1603 · Sarah, 3;4.16
    CHI(a)n(d) a pail .
    MOTa pail .
    MOT*MOT: no honey # you use that at the beach .
    MOTa pail and shovel for the beach .
    MOTbut this is the other kind of shovel .

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_Brown2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986552.52

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. at5 · 100.0%