PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (213 utterances, 820 words searched).

  1. oui , ça te gêne . MOT · french/pauline_20a.cha, line 522 · Pauline 1;08
  2. tu te laves les +//. MOT · french/pauline_20a.cha, line 537 · Pauline 1;08
  3. +, tu vas te laver les mains . MOT · french/pauline_20a.cha, line 539 · Pauline 1;08
  1. french/pauline_20a.cha, line 522 · Pauline, 1;8.05
    MOTnon [/] non , c'est fini .
    CHImaman .
    MOT*MOT: oui , ça te gêne .
    MOTbon , on va la mettre là .
    MOTallons y .
  2. french/pauline_20a.cha, line 537 · Pauline, 1;8.05
    MOTvoilà .
    MOTça y est , c'est bien .
    MOT*MOT: tu te laves les +//.
    MOT+, tu vas te laver les mains .
    CHImains . [+ imi]
  3. french/pauline_20a.cha, line 539 · Pauline, 1;8.05
    MOTça y est , c'est bien .
    MOTtu te laves les +//.
    MOT*MOT: +, tu vas te laver les mains .
    CHImains . [+ imi]
    MOTbon .

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. Pauline french3.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/pauline_20a.chaPauline 1;8.05820333.66

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. te3 · 100.0%