PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (382 utterances, 1,699 words searched).

  1. and where did you go ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 16 · Olivier 2;09
  2. who did you see when you went over there ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 25 · Olivier 2;09
  3. and did you go to the river ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 38 · Olivier 2;09
  4. what did you do by the river ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 43 · Olivier 2;09
  5. what did you do by the river, honey ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 54 · Olivier 2;09
  6. what did you do by the river ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 60 · Olivier 2;09
  7. did you throw something by [/] in the river ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 71 · Olivier 2;09
  8. what did you throw ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 76 · Olivier 2;09
  9. what did you just do here ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 1255 · Olivier 2;09
  10. did you watch the hockey game last night, Olivier ? OBS · bilingual_eng_Genesee/oli23b09m.cha, line 1668 · Olivier 2;09
  11. where did he go ? OBS · bilingual_eng_Genesee/oli23b09m.cha, line 1684 · Olivier 2;09
  1. bilingual_eng_Genesee/oli23b09m.cha, line 16 · Olivier, 2;9.07
    MOT*MOT: and where did you go ?
    MOTremember you went to eat somewhere ?
    MOTyou went to eat ?
  2. bilingual_eng_Genesee/oli23b09m.cha, line 25 · Olivier, 2;9.07
    MOTyou went to eat ?
    CHIto +/.
    MOT*MOT: who did you see when you went over there ?
    CHI0.
    MOTHoward ?
  3. bilingual_eng_Genesee/oli23b09m.cha, line 38 · Olivier, 2;9.07
    CHIHoward and Billy !
    MOTbully [=! laughs] yeah .
    MOT*MOT: and did you go to the river ?
    CHII went to the river .
    MOTwhat did you do by the river ?
  4. bilingual_eng_Genesee/oli23b09m.cha, line 43 · Olivier, 2;9.07
    MOTand did you go to the river ?
    CHII went to the river .
    MOT*MOT: what did you do by the river ?
    CHII want <to do> [/] to do the puzzle !
    MOTokay you xxx [>] .
  5. bilingual_eng_Genesee/oli23b09m.cha, line 54 · Olivier, 2;9.07
    MOTokay you xxx [>] .
    CHIyea [<] !
    MOT*MOT: what did you do by the river, honey ?
    CHIuh .
    MOTwhat did you do by the river ?
  6. bilingual_eng_Genesee/oli23b09m.cha, line 60 · Olivier, 2;9.07
    MOTwhat did you do by the river, honey ?
    CHIuh .
    MOT*MOT: what did you do by the river ?
    CHI0.
    CHI0.
  7. bilingual_eng_Genesee/oli23b09m.cha, line 71 · Olivier, 2;9.07
    MOTyou poke them out # with your fingers .
    CHI0.
    MOT*MOT: did you throw something by [/] in the river ?
    CHIyeah .
    MOTwhat did you throw ?
  8. bilingual_eng_Genesee/oli23b09m.cha, line 76 · Olivier, 2;9.07
    MOTdid you throw something by [/] in the river ?
    CHIyeah .
    MOT*MOT: what did you throw ?
    CHII throwed some rocks .
    MOTyou threw some rocks .
  9. bilingual_eng_Genesee/oli23b09m.cha, line 1255 · Olivier, 2;9.07
    CHII play .
    MOTplay .
    MOT*MOT: what did you just do here ?
    MOTwhat's that ?
    CHIa triangle .
  10. bilingual_eng_Genesee/oli23b09m.cha, line 1668 · Olivier, 2;9.07
    CHI0.
    OBSI think we need some more pieces .
    OBS*OBS: did you watch the hockey game last night, Olivier ?
    CHIyeah .
    OBSit was on a bit late # for you .
  11. bilingual_eng_Genesee/oli23b09m.cha, line 1684 · Olivier, 2;9.07
    CHIDaddy take the car .
    OBSyeah ?
    OBS*OBS: where did he go ?
    CHI<no yy look at that> [/] no yy look at that # big goal [?] .

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_Genesee6.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b09m.chaOlivier 2;9.071,69911116.47

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. did11 · 100.0%