PHPCLANCHILDES with regular expressions

19 matches in 19 utterances

14.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. who's that ? GLO · eng_USA_Brown/sarah002.cha, line 101
  2. oh # who's this ? MOT · eng_USA_Brown/sarah002.cha, line 192
  3. who's this ? MOT · eng_USA_Brown/sarah002.cha, line 197
  4. who's this over here ? MOT · eng_USA_Brown/sarah002.cha, line 264
  5. who's this ? MOT · eng_USA_Brown/sarah002.cha, line 270
  6. an(d) who's this ? MOT · eng_USA_Brown/sarah002.cha, line 382
  7. who's this ? MOT · eng_USA_Brown/sarah002.cha, line 388
  8. who's that ? MOT · eng_USA_Brown/sarah002.cha, line 445
  9. who's that ? MOT · eng_USA_Brown/sarah002.cha, line 472
  10. oh # who's this ? MOT · eng_USA_Brown/sarah002.cha, line 490
  11. and who's this ? MOT · eng_USA_Brown/sarah002.cha, line 550
  12. oh # who's this ? MOT · eng_USA_Brown/sarah002.cha, line 566
  13. huh who's this ? MOT · eng_USA_Brown/sarah002.cha, line 574
  14. who's this ? MOT · eng_USA_Brown/sarah002.cha, line 576
  15. who's that . MOT · eng_USA_Brown/sarah002.cha, line 580
  16. well who's that ? MOT · eng_USA_Brown/sarah002.cha, line 1088
  17. and who's this ? MOT · eng_USA_Brown/sarah002.cha, line 1094
  18. and who's that ? MOT · eng_USA_Brown/sarah002.cha, line 1100
  19. no # who's that ? MOT · eng_USA_Brown/sarah002.cha, line 1104
  1. GLOa skirt ?
    SAReh .
    GLO*GLO: who's that ?
    SARdollie .
    GLOaw .
  2. SARa chair .
    MOTa chair .
    MOT*MOT: oh # who's this ?
    SARa eye .
    MOTwho's this ?
  3. MOToh # who's this ?
    SARa eye .
    MOT*MOT: who's this ?
    SAReye eye eye eye eye .
    MOTshe's good # she's not bad .
  4. MOTthat like your bike ?
    MOThmm ?
    MOT*MOT: who's this over here ?
    SARa girl .
    MOTum .
  5. SARa girl .
    MOTum .
    MOT*MOT: who's this ?
    SARa dog .
    MOTa dog .
  6. SARa money .
    MOTmoney .
    MOT*MOT: an(d) who's this ?
    SARa moon .
    MOTMr Moon .
  7. SARa moon .
    MOTMr Moon .
    MOT*MOT: who's this ?
    SARa monkey .
    MOTa monkey .
  8. SARapple pie .
    SARright there # Mommy .
    MOT*MOT: who's that ?
    SARa Bobo@f .
    MOTanother Bobo@f # my .
  9. SARxx .
    MOTthat doesn't make any sense .
    MOT*MOT: who's that ?
    SARSantie_Claus .
    MOTSantie_Claus .
  10. SARa table .
    MOTtable .
    MOT*MOT: oh # who's this ?
    SARa bunny .
    MOThmm ?
  11. SARa girl .
    MOTgirl .
    MOT*MOT: and who's this ?
    SARa baby .
    MOTa baby .
  12. SARa boat .
    MOTa boat .
    MOT*MOT: oh # who's this ?
    SARa monkey .
    MOTa monkey at the zoo .
  13. MOTa monkey at the zoo .
    MOTsee all the people at the zoo ?
    MOT*MOT: huh who's this ?
    MOTwho's this ?
    MOTyou know who this one is .
  14. MOTsee all the people at the zoo ?
    MOThuh who's this ?
    MOT*MOT: who's this ?
    MOTyou know who this one is .
    MOTwho's that .
  15. MOTwho's this ?
    MOTyou know who this one is .
    MOT*MOT: who's that .
    SARa &b xx .
    MOTBugs # yeah .
  16. SARread xx .
    MOTwhere's the momma ?
    MOT*MOT: well who's that ?
    SARa mommy .
    MOTa mommy .
  17. SARa mommy .
    MOTa mommy .
    MOT*MOT: and who's this ?
    SARa daddy .
    MOTDaddy .
  18. SARa daddy .
    MOTDaddy .
    MOT*MOT: and who's that ?
    SARa daddy .
    MOTno # who's that ?
  19. MOTand who's that ?
    SARa daddy .
    MOT*MOT: no # who's that ?
    SARa daddy .
    MOTxx .

Matches by child

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

  1. Sarah eng_USA_Brown14.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273191914.93

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. who's19 · 100.0%