PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (438 utterances, 1,507 words searched).

  1. Inky . MOT · eng_USA_Brown/sarah059.cha, line 620 · Sarah 3;04
  2. Inky ? KEN · eng_USA_Brown/sarah059.cha, line 622 · Sarah 3;04
  3. let's buy Inky a bone ? MOT · eng_USA_Brown/sarah059.cha, line 626 · Sarah 3;04
  4. Inky can't have a bone . MOT · eng_USA_Brown/sarah059.cha, line 628 · Sarah 3;04
  5. Inky has no teeth . MOT · eng_USA_Brown/sarah059.cha, line 636 · Sarah 3;04
  6. # poor Inky doesn't have any teeth . MOT · eng_USA_Brown/sarah059.cha, line 644 · Sarah 3;04
  7. poor Inky . MOT · eng_USA_Brown/sarah059.cha, line 650 · Sarah 3;04
  1. eng_USA_Brown/sarah059.cha, line 620 · Sarah, 3;4.26
    MOTuh # what's Nana's dog's name ?
    CHIInky .
    MOT*MOT: Inky .
    KENInky ?
    CHIlet's buy Inky a bone .
  2. eng_USA_Brown/sarah059.cha, line 622 · Sarah, 3;4.26
    CHIInky .
    MOTInky .
    KEN*KEN: Inky ?
    CHIlet's buy Inky a bone .
    MOTlet's buy Inky a bone ?
  3. eng_USA_Brown/sarah059.cha, line 626 · Sarah, 3;4.26
    KENInky ?
    CHIlet's buy Inky a bone .
    MOT*MOT: let's buy Inky a bone ?
    MOTInky can't have a bone .
    CHIwhy ?
  4. eng_USA_Brown/sarah059.cha, line 628 · Sarah, 3;4.26
    CHIlet's buy Inky a bone .
    MOTlet's buy Inky a bone ?
    MOT*MOT: Inky can't have a bone .
    CHIwhy ?
    MOThe has no teeth .
  5. eng_USA_Brown/sarah059.cha, line 636 · Sarah, 3;4.26
    MOThe has no teeth .
    CHIhuh ?
    MOT*MOT: Inky has no teeth .
    CHImy dog has teeth .
    MOTyeah .
  6. eng_USA_Brown/sarah059.cha, line 644 · Sarah, 3;4.26
    MOTyeah .
    MOTbut in +...
    MOT*MOT: # poor Inky doesn't have any teeth .
    MOTxxx all gone .
    CHIoh .
  7. eng_USA_Brown/sarah059.cha, line 650 · Sarah, 3;4.26
    MOTxxx all gone .
    CHIoh .
    MOT*MOT: poor Inky .
    CHIyeah .
    MOTjus(t) an ol(d) lady now .

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_Brown4.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah059.chaSarah 3;4.261,507774.64

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. inky7 · 100.0%