PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (336 utterances, 1,231 words searched).

  1. one # two three # two ? MOT · eng_USA_Brown/sarah023.cha, line 636 · Sarah 2;07
  2. one . MOT · eng_USA_Brown/sarah023.cha, line 644 · Sarah 2;07
  3. this one . MOT · eng_USA_Brown/sarah023.cha, line 664 · Sarah 2;07
  4. no # the man didn't take it # you just don't have one . MOT · eng_USA_Brown/sarah023.cha, line 884 · Sarah 2;07
  1. eng_USA_Brown/sarah023.cha, line 636 · Sarah, 2;7.28
    CHIthree .
    CHItwo !
    MOT*MOT: one # two three # two ?
    CHI<one two three four> [=! counting] . [+ bch]
    MOTyeah .
  2. eng_USA_Brown/sarah023.cha, line 644 · Sarah, 2;7.28
    MOTyeah .
    CHIfive .
    MOT*MOT: one .
    MOTcount on my fingers .
    CHIone .
  3. eng_USA_Brown/sarah023.cha, line 664 · Sarah, 2;7.28
    MOThuh ?
    CHIthis one !
    MOT*MOT: this one .
    CHIxxx .
    MOTalright # let's count .
  4. eng_USA_Brown/sarah023.cha, line 884 · Sarah, 2;7.28
    MOTyou don't have a train .
    CHIman took it xxx ?
    MOT*MOT: no # the man didn't take it # you just don't have one .
    CHII have one dere .
    MOTxxx .

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_Brown3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah023.chaSarah 2;7.281,231443.25

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. one4 · 100.0%