PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. how many is that # count em . MOT · eng_USA_Brown/sarah039.cha, line 141 · Sarah 2;11
  2. count em all on my fingers . MOT · eng_USA_Brown/sarah039.cha, line 143 · Sarah 2;11
  1. eng_USA_Brown/sarah039.cha, line 141 · Sarah, 2;11.30
    MOTno # you're not gonna be that many .
    MOTyou're only gonna be that many .
    MOT*MOT: how many is that # count em .
    MOTcount em all on my fingers .
    MOThow many have I got ?
  2. eng_USA_Brown/sarah039.cha, line 143 · Sarah, 2;11.30
    MOTyou're only gonna be that many .
    MOThow many is that # count em .
    MOT*MOT: count em all on my fingers .
    MOThow many have I got ?
    MOTone +...

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_Brown2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859222.33

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. count2 · 100.0%