PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

  1. his name is Noah . GLO · eng_USA_Brown/sarah044.cha, line 1008 · Sarah 3;01
  2. what's his name ? MOT · eng_USA_Brown/sarah044.cha, line 1424 · Sarah 3;01
  3. what's his name # what's that book # what's # that kitty's name ? MOT · eng_USA_Brown/sarah044.cha, line 1567 · Sarah 3;01
  1. eng_USA_Brown/sarah044.cha, line 1008 · Sarah, 3;1.10
    GLOdoes he have a name ?
    CHIa man .
    GLO*GLO: his name is Noah .
    CHINoah .
    CHIo:h # xxx a man you fall down .
  2. eng_USA_Brown/sarah044.cha, line 1424 · Sarah, 3;1.10
    MOTwho's that ?
    CHIclown .
    MOT*MOT: what's his name ?
    CHIBozo # clown .
    MOTd(o) you see Bozo on tv ?
  3. eng_USA_Brown/sarah044.cha, line 1567 · Sarah, 3;1.10
    GLOyou read it upside+down ?
    CHIthis a little pussy cat .
    MOT*MOT: what's his name # what's that book # what's # that kitty's name ?
    CHIhuh ?
    MOTwhat's that book # what's that kitty's name ?

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_Brown2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262332.38

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. his3 · 100.0%