PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

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

  1. that's not bad . MOT · eng_USA_Brown/sarah002.cha, line 280
  2. that's a kitty . MOT · eng_USA_Brown/sarah002.cha, line 357
  3. that's not a key . MOT · eng_USA_Brown/sarah002.cha, line 456
  4. that's not a bunny . MOT · eng_USA_Brown/sarah002.cha, line 498
  5. that's who . MOT · eng_USA_Brown/sarah002.cha, line 500
  6. that's the Christmas tree . MOT · eng_USA_Brown/sarah002.cha, line 525
  7. that's Mr Snowman . MOT · eng_USA_Brown/sarah002.cha, line 608
  8. that's a tiger . MOT · eng_USA_Brown/sarah002.cha, line 621
  9. that's the ride # yeah . MOT · eng_USA_Brown/sarah002.cha, line 631
  10. that's not a chair . MOT · eng_USA_Brown/sarah002.cha, line 689
  11. that's a horsie # but what's this ? MOT · eng_USA_Brown/sarah002.cha, line 737
  12. that's horsie . SAR · eng_USA_Brown/sarah002.cha, line 740
  13. that's the doctor . MOT · eng_USA_Brown/sarah002.cha, line 802
  14. that's an elephant . MOT · eng_USA_Brown/sarah002.cha, line 970
  15. that's who ? MOT · eng_USA_Brown/sarah002.cha, line 1118
  16. that's your Nana # yeah . MOT · eng_USA_Brown/sarah002.cha, line 1122
  17. that's the sister . MOT · eng_USA_Brown/sarah002.cha, line 1126
  1. eng_USA_Brown/sarah002.cha, line 280
    MOTa dog .
    SARah # ba@b # ba@b # ba@b .
    MOT*MOT: that's not bad .
    SARdoggy .
    SARa baby .
  2. eng_USA_Brown/sarah002.cha, line 357
    SARa k(itt)y .
    MOTyeah .
    MOT*MOT: that's a kitty .
    MOTand what's this ?
    SARmm a bubble .
  3. eng_USA_Brown/sarah002.cha, line 456
    SAR0 [=! noise, as of affirmation] .
    SARa key .
    MOT*MOT: that's not a key .
    MOTwhat's that ?
    SARxx .
  4. eng_USA_Brown/sarah002.cha, line 498
    MOThmm ?
    SARa bunny .
    MOT*MOT: that's not a bunny .
    MOTthat's who .
    SARa bunny .
  5. eng_USA_Brown/sarah002.cha, line 500
    SARa bunny .
    MOTthat's not a bunny .
    MOT*MOT: that's who .
    SARa bunny .
    MOTno .
  6. eng_USA_Brown/sarah002.cha, line 525
    MOTno .
    MOTyou don't know what that is # do you .
    MOT*MOT: that's the Christmas tree .
    SARChristmas tree ?
    MOTChristmas tree .
  7. eng_USA_Brown/sarah002.cha, line 608
    SARhere he is .
    MOThere he is !
    MOT*MOT: that's Mr Snowman .
    SARxx ?
    SARxx .
  8. eng_USA_Brown/sarah002.cha, line 621
    SARxx .
    SARdoggy .
    MOT*MOT: that's a tiger .
    SARtiger .
    MOTtiger !
  9. eng_USA_Brown/sarah002.cha, line 631
    MOTtiger !
    SARxx ride .
    MOT*MOT: that's the ride # yeah .
    MOTyou got a ride like that # uhhuh .
    MOTit's a seesaw .
  10. eng_USA_Brown/sarah002.cha, line 689
    SARyy .
    SARa yy .
    MOT*MOT: that's not a chair .
    MOTwhat's that ?
    SARa light .
  11. eng_USA_Brown/sarah002.cha, line 737
    MOTwhat's this ?
    SARthat horsie .
    MOT*MOT: that's a horsie # but what's this ?
    SARthat's horsie .
    MOThorsie's what ?
  12. eng_USA_Brown/sarah002.cha, line 740
    SARthat horsie .
    MOTthat's a horsie # but what's this ?
    SAR*SAR: that's horsie .
    MOThorsie's what ?
    SARI ride horsie .
  13. eng_USA_Brown/sarah002.cha, line 802
    SARxx doggy .
    SARMommy .
    MOT*MOT: that's the doctor .
    SARdoctor .
    MOTthat Dr Marx ?
  14. eng_USA_Brown/sarah002.cha, line 970
    SARdere .
    MOTI don't know .
    MOT*MOT: that's an elephant .
    SARhmm ?
    SARhuh ?
  15. eng_USA_Brown/sarah002.cha, line 1118
    MOTyeah .
    SARsee that .
    MOT*MOT: that's who ?
    SARmy Nana .
    MOTthat's your Nana # yeah .
  16. eng_USA_Brown/sarah002.cha, line 1122
    MOTthat's who ?
    SARmy Nana .
    MOT*MOT: that's your Nana # yeah .
    SARsee that .
    MOTthat's the sister .
  17. eng_USA_Brown/sarah002.cha, line 1126
    MOTthat's your Nana # yeah .
    SARsee that .
    MOT*MOT: that's the sister .
    SARsister ?
    MOTyeah .

Matches by child

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

  1. Sarah eng_USA_Brown13.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273171713.35

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. that's17 · 100.0%