PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

10.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,296 words searched).

  1. how many pennies in there ? FAT · eng_USA_Brown/sarah090.cha, line 292 · Sarah 4;01
  2. is that just all pennies in there ? MEL · eng_USA_Brown/sarah090.cha, line 376 · Sarah 4;01
  3. isn't there one called John ? MEL · eng_USA_Brown/sarah090.cha, line 609 · Sarah 4;01
  4. there's four Beatles . FAT · eng_USA_Brown/sarah090.cha, line 617 · Sarah 4;01
  5. there's Paul # John # Ring(o) # and who else ? FAT · eng_USA_Brown/sarah090.cha, line 639 · Sarah 4;01
  6. because we're goin(g) to leave it right there . FAT · eng_USA_Brown/sarah090.cha, line 847 · Sarah 4;01
  7. there's no hair on my shirt . MOT · eng_USA_Brown/sarah090.cha, line 917 · Sarah 4;01
  8. not there . FAT · eng_USA_Brown/sarah090.cha, line 927 · Sarah 4;01
  9. aren't you ticklish there ? FAT · eng_USA_Brown/sarah090.cha, line 944 · Sarah 4;01
  10. right there +... MOT · eng_USA_Brown/sarah090.cha, line 1047 · Sarah 4;01
  11. right there # he's a Bumble_Bee . FAT · eng_USA_Brown/sarah090.cha, line 1051 · Sarah 4;01
  12. # see there's a bumble+bee . FAT · eng_USA_Brown/sarah090.cha, line 1059 · Sarah 4;01
  13. no # I can't you through there . FAT · eng_USA_Brown/sarah090.cha, line 1172 · Sarah 4;01
  1. eng_USA_Brown/sarah090.cha, line 292 · Sarah, 4;1.04
    MELlooks more like a doggie [/] # doggie bank .
    CHII have two of them .
    FAT*FAT: how many pennies in there ?
    CHIone # two # three # four .
    FATno # here's how many .
  2. eng_USA_Brown/sarah090.cha, line 376 · Sarah, 4;1.04
    MELit's really heavy .
    MELoh my gosh .
    MEL*MEL: is that just all pennies in there ?
    MOTyou're goin(g) to be a very rich little child .
    FATtell Melissa what they're for .
  3. eng_USA_Brown/sarah090.cha, line 609 · Sarah, 4;1.04
    MOTum +...
    MELum # I like John .
    MEL*MEL: isn't there one called John ?
    MELJohn's the one that writes .
    FATwhat's the other fellow's name ?
  4. eng_USA_Brown/sarah090.cha, line 617 · Sarah, 4;1.04
    FATwhat's the other fellow's name ?
    CHIum .
    FAT*FAT: there's four Beatles .
    CHIdo you know ?
    FATyeah I know .
  5. eng_USA_Brown/sarah090.cha, line 639 · Sarah, 4;1.04
    FAToh # wait a minute .
    FATlet's go the second one .
    FAT*FAT: there's Paul # John # Ring(o) # and who else ?
    FAToh +...
    MELoh # I can think of the other .
  6. eng_USA_Brown/sarah090.cha, line 847 · Sarah, 4;1.04
    FATno .
    CHIwhy ?
    FAT*FAT: because we're goin(g) to leave it right there .
    CHII want to grow off .
    FATit will come off all by itself .
  7. eng_USA_Brown/sarah090.cha, line 917 · Sarah, 4;1.04
    CHIxxx under it ?
    MOTno .
    MOT*MOT: there's no hair on my shirt .
    CHIthere's some in your arms .
    CHI(a)n(d) I comb it # xxx .
  8. eng_USA_Brown/sarah090.cha, line 927 · Sarah, 4;1.04
    CHIwith jackobells@c .
    FATwhat ?
    FAT*FAT: not there .
    CHIwhere ?
    CHIwhere ?
  9. eng_USA_Brown/sarah090.cha, line 944 · Sarah, 4;1.04
    CHIare you ticklish .
    FATyeah .
    FAT*FAT: aren't you ticklish there ?
    CHIno .
    FATyou're not ?
  10. eng_USA_Brown/sarah090.cha, line 1047 · Sarah, 4;1.04
    MOTBumble_Bee .
    MOTyou see the Bumble_Bee .
    MOT*MOT: right there +...
    FATyou see the Bumble_Bee .
    FATright there # he's a Bumble_Bee .
  11. eng_USA_Brown/sarah090.cha, line 1051 · Sarah, 4;1.04
    MOTright there +...
    FATyou see the Bumble_Bee .
    FAT*FAT: right there # he's a Bumble_Bee .
    FATyou know what ?
    CHIwhat ?
  12. eng_USA_Brown/sarah090.cha, line 1059 · Sarah, 4;1.04
    CHIwhat ?
    FATit +...
    FAT*FAT: # see there's a bumble+bee .
    FATdo you like them ?
    CHIyeah .
  13. eng_USA_Brown/sarah090.cha, line 1172 · Sarah, 4;1.04
    CHIyum # yum .
    CHIcan you see me through here ?
    FAT*FAT: no # I can't you through there .
    CHIcan you see me now ?
    FATI bet # when I open a can of sardines she'd go haywire .

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_Brown10.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah090.chaSarah 4;1.041,296131310.03

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. there13 · 100.0%