PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,055 words searched).

  1. where is it ? GLO · eng_USA_Brown/sarah008.cha, line 352 · Sarah 2;04
  2. where is he ? MOT · eng_USA_Brown/sarah008.cha, line 358 · Sarah 2;04
  3. is he in the toy box ? MOT · eng_USA_Brown/sarah008.cha, line 368 · Sarah 2;04
  4. ok # here it is . MOT · eng_USA_Brown/sarah008.cha, line 960 · Sarah 2;04
  5. hey # xxx the professor what Santa_Claus is going to bring you ? MOT · eng_USA_Brown/sarah008.cha, line 1183 · Sarah 2;04
  6. yeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ? MOT · eng_USA_Brown/sarah008.cha, line 1189 · Sarah 2;04
  1. eng_USA_Brown/sarah008.cha, line 352 · Sarah, 2;4.12
    GLOwhere's your new Bobo ?
    CHIum .
    GLO*GLO: where is it ?
    CHIgone .
    CHIxxx way .
  2. eng_USA_Brown/sarah008.cha, line 358 · Sarah, 2;4.12
    CHIgone .
    CHIxxx way .
    MOT*MOT: where is he ?
    CHIgone .
    MOTgo find him .
  3. eng_USA_Brown/sarah008.cha, line 368 · Sarah, 2;4.12
    MOTxxx .
    CHIin (th)ere ?
    MOT*MOT: is he in the toy box ?
    CHIgone xxx .
    CHIup dere .
  4. eng_USA_Brown/sarah008.cha, line 960 · Sarah, 2;4.12
    CHIsweep floor .
    MOTyeah # oh # sweep the floor .
    MOT*MOT: ok # here it is .
    MOTok # now you can sweep the floor .
    CHIsweep floor .
  5. eng_USA_Brown/sarah008.cha, line 1183 · Sarah, 2;4.12
    MOTwho's a fish+head ?
    CHIxxx .
    MOT*MOT: hey # xxx the professor what Santa_Claus is going to bring you ?
    CHIxxx Santa_Claus .
    MOTyeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ?
  6. eng_USA_Brown/sarah008.cha, line 1189 · Sarah, 2;4.12
    MOThey # xxx the professor what Santa_Claus is going to bring you ?
    CHIxxx Santa_Claus .
    MOT*MOT: yeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ?
    CHIyyy .
    MOTChatty_baby # and what's the other one ?

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_Brown5.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah008.chaSarah 2;4.121,055665.69

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. is6 · 100.0%