PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

  1. I'll be through in one minute now . MOT · eng_USA_Brown/sarah021.cha, line 33 · Sarah 2;07
  2. that's if you hold your head real stiff now for one minute . MOT · eng_USA_Brown/sarah021.cha, line 82 · Sarah 2;07
  3. this one is blue . FAT · eng_USA_Brown/sarah021.cha, line 813 · Sarah 2;07
  4. one mouth . FAT · eng_USA_Brown/sarah021.cha, line 1462 · Sarah 2;07
  5. one two three four five . FAT · eng_USA_Brown/sarah021.cha, line 1504 · Sarah 2;07
  6. that's a new one . MOT · eng_USA_Brown/sarah021.cha, line 1557 · Sarah 2;07
  1. eng_USA_Brown/sarah021.cha, line 33 · Sarah, 2;7.12
    MOTwa:y down .
    CHIyyy xxx Mommy .
    MOT*MOT: I'll be through in one minute now .
    MOTyou got ta have pretty curls .
    MOT(be)cause you're gonna go see the Easter_Bunny too # you know .
  2. eng_USA_Brown/sarah021.cha, line 82 · Sarah, 2;7.12
    MOT<where's the bunny> [//] well # we'll go see the Bunny # all right ?
    CHIalright .
    MOT*MOT: that's if you hold your head real stiff now for one minute .
    CHIone min(u)t(e) .
    CHIoh who dere .
  3. eng_USA_Brown/sarah021.cha, line 813 · Sarah, 2;7.12
    FATsee .
    FATJoann colored the balloons .
    FAT*FAT: this one is blue .
    CHIdat blue .
    FATthis is green .
  4. eng_USA_Brown/sarah021.cha, line 1462 · Sarah, 2;7.12
    FAThow many mouths ?
    CHIone mouth .
    FAT*FAT: one mouth .
    CHIone mouth .
    FAThow many ears ?
  5. eng_USA_Brown/sarah021.cha, line 1504 · Sarah, 2;7.12
    CHI<one two three four> [=! counting] . [+ bch]
    CHIdat hand ?
    FAT*FAT: one two three four five .
    CHI<one two three four # five> [=! counting] . [+ bch]
    FATwhat comes after five ?
  6. eng_USA_Brown/sarah021.cha, line 1557 · Sarah, 2;7.12
    FAToh # what happened ?
    CHIxxx .
    MOT*MOT: that's a new one .
    CHIa new one .
    MOTyeah .

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_Brown4.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452664.13

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. one6 · 100.0%