PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 988 words searched).

  1. j'vais preparer l'cafe hein . MOT · french/rondal_07a.cha, line 171 · Rondal_07A 2;08
  2. j'vais preparer du cafe . MOT · french/rondal_07a.cha, line 173 · Rondal_07A 2;08
  3. j'vais t'donner un aut'papier pour ecrire ? MOT · french/rondal_07a.cha, line 234 · Rondal_07A 2;08
  1. french/rondal_07a.cha, line 171 · Rondal_07A, 2;8.01
    CHIãka sa: .
    MOTm: .
    MOT*MOT: j'vais preparer l'cafe hein .
    CHIɛ̃?
    MOTj'vais preparer du cafe .
  2. french/rondal_07a.cha, line 173 · Rondal_07A, 2;8.01
    MOTj'vais preparer l'cafe hein .
    CHIɛ̃?
    MOT*MOT: j'vais preparer du cafe .
    CHIya .
    CHIsa: [!] ?
  3. french/rondal_07a.cha, line 234 · Rondal_07A, 2;8.01
    MOTtu veux ecrire ?
    MOTmais on n' ecrit pas sur ce papier~la .
    MOT*MOT: j'vais t'donner un aut'papier pour ecrire ?
    CHIma a vø ya .
    MOTtu veux un papier comme ca pour ecrire ?

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. Rondal_07A french3.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_07a.chaRondal_07A 2;8.01988333.04

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. j'vais3 · 100.0%