PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 1,954 words searched).

  1. two . FAT · eng_USA_Brown/sarah035.cha, line 475 · Sarah 2;10
  2. that's two . FAT · eng_USA_Brown/sarah035.cha, line 477 · Sarah 2;10
  3. do one # two # cha_cha_cha . MOT · eng_USA_Brown/sarah035.cha, line 804 · Sarah 2;10
  4. do one two # cha_cha_cha . MOT · eng_USA_Brown/sarah035.cha, line 832 · Sarah 2;10
  5. one two +/. MOT · eng_USA_Brown/sarah035.cha, line 836 · Sarah 2;10
  6. no # you're two now . FAT · eng_USA_Brown/sarah035.cha, line 1004 · Sarah 2;10
  7. what comes after two ? FAT · eng_USA_Brown/sarah035.cha, line 1006 · Sarah 2;10
  1. eng_USA_Brown/sarah035.cha, line 475 · Sarah, 2;10.24
    CHIone # two .
    FATwait a minute [/] # wait a minute .
    FAT*FAT: two .
    FATthat's two .
    CHItwo .
  2. eng_USA_Brown/sarah035.cha, line 477 · Sarah, 2;10.24
    FATwait a minute [/] # wait a minute .
    FATtwo .
    FAT*FAT: that's two .
    CHItwo .
    FATyeah .
  3. eng_USA_Brown/sarah035.cha, line 804 · Sarah, 2;10.24
    MOToh .
    MOTcha_cha_cha [x 2] .
    MOT*MOT: do one # two # cha_cha_cha .
    CHIone two cha_cha_(cha) +/.
    MOTc(o)me on .
  4. eng_USA_Brown/sarah035.cha, line 832 · Sarah, 2;10.24
    CHII fall down .
    MOToh yeah ?
    MOT*MOT: do one two # cha_cha_cha .
    CHIone two cha_cha_cha .
    MOTone two +/.
  5. eng_USA_Brown/sarah035.cha, line 836 · Sarah, 2;10.24
    MOTdo one two # cha_cha_cha .
    CHIone two cha_cha_cha .
    MOT*MOT: one two +/.
    CHIone two cha_cha_cha .
    CHIone two cha_cha_cha .
  6. eng_USA_Brown/sarah035.cha, line 1004 · Sarah, 2;10.24
    FATand how old will you be ?
    CHItwo .
    FAT*FAT: no # you're two now .
    FATwhat comes after two ?
    CHItwo ?
  7. eng_USA_Brown/sarah035.cha, line 1006 · Sarah, 2;10.24
    CHItwo .
    FATno # you're two now .
    FAT*FAT: what comes after two ?
    CHItwo ?
    CHIthree .

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_Brown3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah035.chaSarah 2;10.241,954773.58

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. two7 · 100.0%