PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (245 utterances, 1,532 words searched).

  1. okay so we'll leave a little space in there . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 244 · Olivier 3;06
  2. so where shall we put the house with [//] where should we put the door w… MOT · bilingual_eng_Genesee/oli33b06m.cha, line 246 · Olivier 3;06
  3. so you wanna [: want to] make a house ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 269 · Olivier 3;06
  4. so why did he do that ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 507 · Olivier 3;06
  5. well I can't find the instructions so <we'll just> [//] <we'll try and> [/] we'll try and build it without … MOT · bilingual_eng_Genesee/oli33b06m.cha, line 816 · Olivier 3;06
  6. there so we just look at the picture here and then we put it together see ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 893 · Olivier 3;06
  1. MOTwe only put the door in after we build the house ?
    CHI0.
    MOT*MOT: okay so we'll leave a little space in there .
    MOTso where shall we put the house with [//] where should we put the door when we put the door in ?
    CHI0.
  2. CHI0.
    MOTokay so we'll leave a little space in there .
    MOT*MOT: so where shall we put the house with [//] where should we put the door when we put the door in ?
    CHI0.
    MOTwhere do we put it ?
  3. MOTno I didn't say how I said where .
    CHIlike a door yy pow pow .
    MOT*MOT: so you wanna [: want to] make a house ?
    CHIyes .
    MOTokay # help me .
  4. MOThe burnt his tail .
    CHIyeah .
    MOT*MOT: so why did he do that ?
    CHIyy .
    MOThow come ?
  5. MOThe doesn't have any .
    CHIno .
    MOT*MOT: well I can't find the instructions so <we'll just> [//] <we'll try and> [/] we'll try and build it without the instructions .
    MOTdo you think we can do that ?
    CHIno I don't .
  6. MOThere we go here we go .
    MOTnow we can build our airplane .
    MOT*MOT: there so we just look at the picture here and then we put it together see ?
    MOTyou go like this .
    CHIyyy .

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. Olivier bilingual_eng_Genesee3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli33b06m.chaOlivier 3;06.091,532663.92

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. so6 · 100.0%