PHPCLANCHILDES with regular expressions

17 matches in 16 utterances

6.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 2,546 words searched).

  1. two ! ROG · eng_USA_Brown/sarah139.cha, line 741 · Sarah 5;01
  2. why should you put two hands in it # Sarah ? URS · eng_USA_Brown/sarah139.cha, line 745 · Sarah 5;01
  3. you need two # I think . ROG · eng_USA_Brown/sarah139.cha, line 815 · Sarah 5;01
  4. Sarah # I'm going to say two things and you tell me which one you like better # alright ? ROG · eng_USA_Brown/sarah139.cha, line 1127 · Sarah 5;01
  5. and these are two +... ROG · eng_USA_Brown/sarah139.cha, line 1268 · Sarah 5;01
  6. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1272 · Sarah 5;01
  7. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1276 · Sarah 5;01
  8. two gutch@t ? ROG · eng_USA_Brown/sarah139.cha, line 1281 · Sarah 5;01
  9. now # if I had two of them I'd have two what ? ROG · eng_USA_Brown/sarah139.cha, line 1325 · Sarah 5;01
  10. now # if I had two of them I'd have two what ? ROG · eng_USA_Brown/sarah139.cha, line 1325 · Sarah 5;01
  11. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1328 · Sarah 5;01
  12. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1333 · Sarah 5;01
  13. two of them . ROG · eng_USA_Brown/sarah139.cha, line 1338 · Sarah 5;01
  14. and these are two what ? ROG · eng_USA_Brown/sarah139.cha, line 1354 · Sarah 5;01
  15. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1360 · Sarah 5;01
  16. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1365 · Sarah 5;01
  17. two what ? ROG · eng_USA_Brown/sarah139.cha, line 1376 · Sarah 5;01
  1. ROGyeah .
    CHII should put two hand in it .
    ROG*ROG: two !
    CHII put two in it .
    URSwhy should you put two hands in it # Sarah ?
  2. ROGtwo !
    CHII put two in it .
    URS*URS: why should you put two hands in it # Sarah ?
    CHIbecause .
    URSbecause why ?
  3. CHIthis is too big .
    ROGwhy don't you try the other hand though because that's easier .
    ROG*ROG: you need two # I think .
    ROGit's awful big .
    ROGcan you make the eyes roll ?
  4. ROGshe does that all the time in natural conversation .
    URSok # that was good .
    ROG*ROG: Sarah # I'm going to say two things and you tell me which one you like better # alright ?
    CHIyyy .
    ROGevery day I eat lunch in my office .
  5. ROGyou can say gutch@t .
    CHIgutch@t .
    ROG*ROG: and these are two +...
    CHIgutch@t .
    ROGtwo what ?
  6. ROGand these are two +...
    CHIgutch@t .
    ROG*ROG: two what ?
    CHIgutches@t .
    ROGtwo what ?
  7. ROGtwo what ?
    CHIgutches@t .
    ROG*ROG: two what ?
    CHIgutch@t .
    ROGtwo gutch@t ?
  8. ROGtwo what ?
    CHIgutch@t .
    ROG*ROG: two gutch@t ?
    URSwhile tape was off # Sarah said <liz@t> ["] and then when I said <liz@t> ["] and <lizzes@t> ["] she said that she liked <lizzes@t> ["] better than +"/.
    URS+" liz@t .
  9. CHIgop@t ?
    ROGyep .
    ROG*ROG: now # if I had two of them I'd have two what ?
    ROGtwo what ?
    CHItwo gop@t .
  10. ROGyep .
    ROGnow # if I had two of them I'd have two what ?
    ROG*ROG: two what ?
    CHItwo gop@t .
    ROGtwo what ?
  11. ROGtwo what ?
    CHItwo gop@t .
    ROG*ROG: two what ?
    CHItwo of them .
    ROGtwo of them .
  12. ROGtwo what ?
    CHItwo of them .
    ROG*ROG: two of them .
    ROGthat's very true .
    ROGnow see this is one # that's gop@t .
  13. ROGand one more .
    ROGthat's a gop@t .
    ROG*ROG: and these are two what ?
    CHIgop@t .
    ROGtwo what ?
  14. ROGand these are two what ?
    CHIgop@t .
    ROG*ROG: two what ?
    CHIgop@t .
    ROGtwo what ?
  15. ROGtwo what ?
    CHIgop@t .
    ROG*ROG: two what ?
    CHIgop@t .
    ROGcan't quite hear you .
  16. ROGcan't quite hear you .
    ROGthis is a gop@t and these are what ?
    ROG*ROG: two what ?
    ROG# hmm ?
    CHIgops@t .

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. Sarah eng_USA_Brown6.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah139.chaSarah 5;1.062,54616176.68

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. two17 · 100.0%