PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

8.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (361 utterances, 1,546 words searched).

  1. um # apples are good # huh . MOT · eng_USA_Brown/sarah031.cha, line 202 · Sarah 2;09
  2. what are we going to do with you today ? MOT · eng_USA_Brown/sarah031.cha, line 374 · Sarah 2;09
  3. how many babies are there ? MOT · eng_USA_Brown/sarah031.cha, line 484 · Sarah 2;09
  4. yeah # look at how bad they are . MOT · eng_USA_Brown/sarah031.cha, line 575 · Sarah 2;09
  5. hmm # are you bad ? MOT · eng_USA_Brown/sarah031.cha, line 620 · Sarah 2;09
  6. what are you doing ? COU · eng_USA_Brown/sarah031.cha, line 890 · Sarah 2;09
  7. you're not # are you tired ? MOT · eng_USA_Brown/sarah031.cha, line 973 · Sarah 2;09
  8. where are you going ? MOT · eng_USA_Brown/sarah031.cha, line 994 · Sarah 2;09
  9. what are you doing ? MOT · eng_USA_Brown/sarah031.cha, line 1062 · Sarah 2;09
  10. what are you doing ? MOT · eng_USA_Brown/sarah031.cha, line 1066 · Sarah 2;09
  11. your teeth are falling out ? MOT · eng_USA_Brown/sarah031.cha, line 1164 · Sarah 2;09
  12. whose girl are you ? MOT · eng_USA_Brown/sarah031.cha, line 1166 · Sarah 2;09
  13. are we going out ? MOT · eng_USA_Brown/sarah031.cha, line 1210 · Sarah 2;09
  1. eng_USA_Brown/sarah031.cha, line 202 · Sarah, 2;9.29
    MOTwhat's that ?
    CHIxxx .
    MOT*MOT: um # apples are good # huh .
    CHI0 .
    MOTlook at that boy .
  2. eng_USA_Brown/sarah031.cha, line 374 · Sarah, 2;9.29
    CHIxxx .
    MOThe what ?
    MOT*MOT: what are we going to do with you today ?
    CHIclown .
    MOTclowns ?
  3. eng_USA_Brown/sarah031.cha, line 484 · Sarah, 2;9.29
    CHI0 .
    MOTsuch a lot of babies .
    MOT*MOT: how many babies are there ?
    MOTcount the babies .
    CHI<one # two # three # four> [=! counting] . [+ bch]
  4. eng_USA_Brown/sarah031.cha, line 575 · Sarah, 2;9.29
    CHIget shoes on .
    MOTputting on her mummy's shoes # huh ?
    MOT*MOT: yeah # look at how bad they are .
    MOTwww .
    CHI0 .
  5. eng_USA_Brown/sarah031.cha, line 620 · Sarah, 2;9.29
    CHIgirl bad # too # huh ?
    MOTgirl's not bad # either ?
    MOT*MOT: hmm # are you bad ?
    CHIno .
    MOToh .
  6. eng_USA_Brown/sarah031.cha, line 890 · Sarah, 2;9.29
    COUhow does he drink ?
    COUwhat do you do ?
    COU*COU: what are you doing ?
    MOTdon't do that !
    MOTdon't do that to your doll !
  7. eng_USA_Brown/sarah031.cha, line 973 · Sarah, 2;9.29
    CHI0 .
    MOTawful cranky # huh .
    MOT*MOT: you're not # are you tired ?
    MOTsure you don't want to go to bed ?
    MOTno ?
  8. eng_USA_Brown/sarah031.cha, line 994 · Sarah, 2;9.29
    MOTwhat do you want ?
    CHII want +...
    MOT*MOT: where are you going ?
    CHI<I want> [/] # I want # record .
    MOTyou play the records later .
  9. eng_USA_Brown/sarah031.cha, line 1062 · Sarah, 2;9.29
    CHIMummy .
    MOTyou like that ?
    MOT*MOT: what are you doing ?
    CHIcaught .
    MOTwhat are you doing ?
  10. eng_USA_Brown/sarah031.cha, line 1066 · Sarah, 2;9.29
    MOTwhat are you doing ?
    CHIcaught .
    MOT*MOT: what are you doing ?
    MOThmm ?
    CHIyyy .
  11. eng_USA_Brown/sarah031.cha, line 1164 · Sarah, 2;9.29
    MOTwhat's a matter ?
    CHImy teeth xxx .
    MOT*MOT: your teeth are falling out ?
    MOTwhose girl are you ?
    CHIMommy girl .
  12. eng_USA_Brown/sarah031.cha, line 1166 · Sarah, 2;9.29
    CHImy teeth xxx .
    MOTyour teeth are falling out ?
    MOT*MOT: whose girl are you ?
    CHIMommy girl .
    MOTMummy's girl ?
  13. eng_USA_Brown/sarah031.cha, line 1210 · Sarah, 2;9.29
    MOTsay # you know it's warm out .
    MOTit's nice out .
    MOT*MOT: are we going out ?
    MOTc(o)me on talk .
    CHIlet [?] see .

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_Brown8.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah031.chaSarah 2;9.291,54613138.41

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. are13 · 100.0%