PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. if ya ever run into one # alphabet (a)n(d) numbers . MOT · eng_USA_Brown/sarah071.cha, line 151 · Sarah 3;07
  2. you don't know your numbers at all . MOT · eng_USA_Brown/sarah071.cha, line 909 · Sarah 3;07
  3. that's not the numbers . MOT · eng_USA_Brown/sarah071.cha, line 917 · Sarah 3;07
  1. eng_USA_Brown/sarah071.cha, line 151 · Sarah, 3;7.30
    MOTI can't find # anywhere .
    KENI'll look around # see if I +...
    MOT*MOT: if ya ever run into one # alphabet (a)n(d) numbers .
    MOTshe's lost a couple of them # you know .
    CHIif you wound em +...
  2. eng_USA_Brown/sarah071.cha, line 909 · Sarah, 3;7.30
    MOTit's a three .
    CHIa +...
    MOT*MOT: you don't know your numbers at all .
    CHIa@l # b@l # c@l # d@l # e@l # f@l # g@l # h@l +... [+ bch]
    MOTthat's letters .
  3. eng_USA_Brown/sarah071.cha, line 917 · Sarah, 3;7.30
    CHIa@l # b@l # c@l # d@l # e@l # f@l # g@l # h@l +... [+ bch]
    MOTthat's letters .
    MOT*MOT: that's not the numbers .
    CHIxxx .
    MOTwhat'd ya do over Nana's ?

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_Brown2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099332.73

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. numbers3 · 100.0%