PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (167 utterances, 725 words searched).

  1. ok, we'll get some to fix it . FAT · eng_USA_Demetras_Trevor/t_fat03.cha, line 463 · Tim 2;02
  2. how should I fix that, David ? FAT · eng_USA_Demetras_Trevor/t_fat03.cha, line 466 · Tim 2;02
  1. eng_USA_Demetras_Trevor/t_fat03.cha, line 463 · Tim, 2;2.01
    FATcan you do that ?
    CHIyeah .
    FAT*FAT: ok, we'll get some to fix it .
    FAThow should I fix that, David ?
    FATsuppose we can make that train around that ?
  2. eng_USA_Demetras_Trevor/t_fat03.cha, line 466 · Tim, 2;2.01
    CHIyeah .
    FATok, we'll get some to fix it .
    FAT*FAT: how should I fix that, David ?
    FATsuppose we can make that train around that ?
    FATjust like that .

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. Tim eng_USA_Demetras_Trevor2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/t_fat03.chaTim 2;2.01725222.76

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. fix2 · 100.0%