PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,670 words searched).

  1. with water ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 129 · Olivier 2;10
  2. water . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 742 · Olivier 2;10
  3. how did you get water inside a [: of] that ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 744 · Olivier 2;10
  4. how did you get water in this ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 756 · Olivier 2;10
  5. well how did you get water in it ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 765 · Olivier 2;10
  6. the water bomb ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 1123 · Olivier 2;10
  1. bilingual_eng_Genesee/oli23b11m.cha, line 129 · Olivier, 2;10.29
    MOTand what do they put the fire out with ?
    CHIwith # yyy .
    MOT*MOT: with water ?
    CHIwater .
    MOTyeah .
  2. bilingual_eng_Genesee/oli23b11m.cha, line 742 · Olivier, 2;10.29
    CHIyeah ?
    CHIwater .
    MOT*MOT: water .
    MOThow did you get water inside a [: of] that ?
    CHII # throwed it and # put it # in cameras .
  3. bilingual_eng_Genesee/oli23b11m.cha, line 744 · Olivier, 2;10.29
    CHIwater .
    MOTwater .
    MOT*MOT: how did you get water inside a [: of] that ?
    CHII # throwed it and # put it # in cameras .
    MOTyou put it in the camera ?
  4. bilingual_eng_Genesee/oli23b11m.cha, line 756 · Olivier, 2;10.29
    MOTyou put it in the camera ?
    CHIgive it to me .
    MOT*MOT: how did you get water in this ?
    CHI0.
    CHIlike that .
  5. bilingual_eng_Genesee/oli23b11m.cha, line 765 · Olivier, 2;10.29
    CHI0.
    CHIlike that .
    MOT*MOT: well how did you get water in it ?
    MOTwhere did you put it ?
    CHIgive me my ball .
  6. bilingual_eng_Genesee/oli23b11m.cha, line 1123 · Olivier, 2;10.29
    MOTone two three la boomba !
    MOTyou were doing the bomb ?
    MOT*MOT: the water bomb ?
    CHIare we going park ?
    MOTno, we're not going now, honey ?

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_Genesee3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.291,670663.59

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. water6 · 100.0%