PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.33 per 1,000 words of the child (CHI), in 1 of 1 transcripts (300 utterances, 840 words searched).

  1. that's the um # good pencil ? CHI · eng_USA_Brown/sarah064.cha, line 410 · Sarah 3;06
  2. um +... CHI · eng_USA_Brown/sarah064.cha, line 414 · Sarah 3;06
  3. um . CHI · eng_USA_Brown/sarah064.cha, line 519 · Sarah 3;06
  4. um +... CHI · eng_USA_Brown/sarah064.cha, line 526 · Sarah 3;06
  5. have my um # uh my alphabets . CHI · eng_USA_Brown/sarah064.cha, line 625 · Sarah 3;06
  6. um # no . CHI · eng_USA_Brown/sarah064.cha, line 1108 · Sarah 3;06
  7. um # yeah . CHI · eng_USA_Brown/sarah064.cha, line 1176 · Sarah 3;06
  1. MOTone leg .
    MOTthat's right .
    CHI*CHI: that's the um # good pencil ?
    MOTwhat [/] # what's that letter ?
    CHIum +...
  2. CHIthat's the um # good pencil ?
    MOTwhat [/] # what's that letter ?
    CHI*CHI: um +...
    MOTtake your hand out of your mouth .
    CHII don't know that one .
  3. MOTx@l .
    MOTwhat's that ?
    CHI*CHI: um .
    CHImake em that way # <(a)n(d) that way> [/] # (a)n(d) that way .
    MOTmmhm .
  4. CHImake em that way # <(a)n(d) that way> [/] # (a)n(d) that way .
    MOTmmhm .
    CHI*CHI: um +...
    MOTwhat's that ?
    CHIk@l .
  5. CHII got a sing mine # Mommy .
    MOTwhat ?
    CHI*CHI: have my um # uh my alphabets .
    MOTxxx .
    MOTthis xxx listing thing is all messed up .
  6. CHIme too .
    MOTwould you like to go to sleep ?
    CHI*CHI: um # no .
    MOThow would you like to take a nap ?
    CHIfor Kent ?
  7. MOTyeah .
    MOTbut you cheat .
    CHI*CHI: um # yeah .
    MOTI can't like to play with people that cheat .
    MOTya haven't played this in a long time # have ya ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown8.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.06840778.33

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. um7 · 100.0%