PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,476 words searched).

  1. what a mess ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 70 · Olivier 1;11
  2. is that a mess you're making ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 74 · Olivier 1;11
  3. uh another mess ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 281 · Olivier 1;11
  4. 0 aux you make another mess ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 283 · Olivier 1;11
  5. did you make a mess # honey ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 285 · Olivier 1;11
  6. you really are making a big mess ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 988 · Olivier 1;11
  7. are you making a mess, honey ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 990 · Olivier 1;11
  8. you know what a mess is, don't you ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 994 · Olivier 1;11
  1. MOT0aux you wanna [: want to] wear the hat ?
    MOToh boy !
    MOT*MOT: what a mess !
    CHIooh !
    MOTis that a mess you're making ?
  2. MOTwhat a mess !
    CHIooh !
    MOT*MOT: is that a mess you're making ?
    MOT0.
    MOThello ?
  3. MOTwhat's inside ?
    MOTooh !
    MOT*MOT: uh another mess !
    MOT0 aux you make another mess ?
    MOTdid you make a mess # honey ?
  4. MOTooh !
    MOTuh another mess !
    MOT*MOT: 0 aux you make another mess ?
    MOTdid you make a mess # honey ?
    EXP0.
  5. MOTuh another mess !
    MOT0 aux you make another mess ?
    MOT*MOT: did you make a mess # honey ?
    EXP0.
    MOTcome on there # # talk !
  6. MOT0aux you wanna [: want to] take this stuff out ?
    MOTooh !
    MOT*MOT: you really are making a big mess !
    MOTare you making a mess, honey ?
    MOTOlivier ?
  7. MOTooh !
    MOTyou really are making a big mess !
    MOT*MOT: are you making a mess, honey ?
    MOTOlivier ?
    MOTyou know what a mess is, don't you ?
  8. MOTare you making a mess, honey ?
    MOTOlivier ?
    MOT*MOT: you know what a mess is, don't you ?
    EXP0.
    EXPxxx ?

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_Genesee5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,476885.42

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. mess8 · 100.0%