PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

4.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (800 utterances, 3,230 words searched).

  1. who does that look like? MOT · downs-flusberg/martin05.cha, line 237
  2. now who does that look like? MOT · downs-flusberg/martin05.cha, line 245
  3. it doesn't fit, does it? MOT · downs-flusberg/martin05.cha, line 323
  4. does he look sad now? MOT · downs-flusberg/martin05.cha, line 533
  5. does he look happy? MOT · downs-flusberg/martin05.cha, line 537
  6. what does it look like? MOT · downs-flusberg/martin05.cha, line 700
  7. does it look like jeff in school? MOT · downs-flusberg/martin05.cha, line 766
  8. does it look like adam? MOT · downs-flusberg/martin05.cha, line 768
  9. does it look like ron? MOT · downs-flusberg/martin05.cha, line 770
  10. who does it look like? MOT · downs-flusberg/martin05.cha, line 772
  11. does it look like mrsflynn? MOT · downs-flusberg/martin05.cha, line 775
  12. <m I k e> [/?] what does that say? MOT · downs-flusberg/martin05.cha, line 1349
  13. what noise does that make? MOT · downs-flusberg/martin05.cha, line 1563
  14. what does that sound like? MOT · downs-flusberg/martin05.cha, line 1565
  15. now what does he need? MOT · downs-flusberg/martin05.cha, line 1710
  1. downs-flusberg/martin05.cha, line 237
    MOT<who should we> [/?] who should we call this?
    CHII call this.
    MOT*MOT: who does that look like?
    CHIteeth.
    MOT<oh> [/?] teeth.
  2. downs-flusberg/martin05.cha, line 245
    MOThere's some teeth.
    MOTok.
    MOT*MOT: now who does that look like?
    CHIdo teeth.
    MOTwe did teeth and we did tongue.
  3. downs-flusberg/martin05.cha, line 323
    CHIxxx put hat.
    MOTwhere do you put the hat?
    MOT*MOT: it doesn't fit, does it?
    CHIdoesn't fit.
    MOTalright.
  4. downs-flusberg/martin05.cha, line 533
    MOTthere.
    CHIsad mouth.
    MOT*MOT: does he look sad now?
    CHIno.
    MOTyou don't think so?
  5. downs-flusberg/martin05.cha, line 537
    MOTyou don't think so?
    CHIno.
    MOT*MOT: does he look happy?
    CHIyeah.
    MOTwhat if I turn it this way?
  6. downs-flusberg/martin05.cha, line 700
    CHII don't know.
    MOTdon't know?
    MOT*MOT: what does it look like?
    CHIa xxx game.
    MOTit's a game, yeah.
  7. downs-flusberg/martin05.cha, line 766
    MOTwho's it look like?
    CHII don't know.
    MOT*MOT: does it look like jeff in school?
    CHIno.
    MOTdoes it look like adam?
  8. downs-flusberg/martin05.cha, line 768
    MOTdoes it look like jeff in school?
    CHIno.
    MOT*MOT: does it look like adam?
    CHIno.
    MOTdoes it look like ron?
  9. downs-flusberg/martin05.cha, line 770
    MOTdoes it look like adam?
    CHIno.
    MOT*MOT: does it look like ron?
    CHIno.
    MOTwho does it look like?
  10. downs-flusberg/martin05.cha, line 772
    MOTdoes it look like ron?
    CHIno.
    MOT*MOT: who does it look like?
    CHII don't know.
    MOTyou don't know?
  11. downs-flusberg/martin05.cha, line 775
    CHII don't know.
    MOTyou don't know?
    MOT*MOT: does it look like mrsflynn?
    CHIno.
    MOTno.
  12. downs-flusberg/martin05.cha, line 1349
    MOTno.
    CHIwhat?
    MOT*MOT: <m I k e> [/?] what does that say?
    CHImichael.
    MOTmike.
  13. downs-flusberg/martin05.cha, line 1563
    CHIyep.
    CHI<ooh> [/?].
    MOT*MOT: what noise does that make?
    CHIa crack.
    MOTwhat does that sound like?
  14. downs-flusberg/martin05.cha, line 1565
    MOTwhat noise does that make?
    CHIa crack.
    MOT*MOT: what does that sound like?
    CHIa crack.
    MOTsnap.
  15. downs-flusberg/martin05.cha, line 1710
    MOTok.
    MOTgood going.
    MOT*MOT: now what does he need?
    CHI<mouth> [/?] a mouth.
    MOTgotta mouth, right.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Martin downs-flusberg4.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/martin05.chaMartin 3,23015154.64

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. does15 · 100.0%