PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 1,045 words searched).

  1. fafa a r'tire sa culotte . MOT · french/rondal_06e.cha, line 406 · Rondal_06E 2;06
  2. fafa a r'tire sa culotte ? MOT · french/rondal_06e.cha, line 408 · Rondal_06E 2;06
  3. pourquoi est ce que fafa a r'tire sa culotte ? MOT · french/rondal_06e.cha, line 412 · Rondal_06E 2;06
  1. french/rondal_06e.cha, line 406 · Rondal_06E, 2;6.30
    MOTou ca dans l'auto ?
    CHIfafa a mi a sou dã ota .
    MOT*MOT: fafa a r'tire sa culotte .
    CHIɛ̃?
    MOTfafa a r'tire sa culotte ?
  2. french/rondal_06e.cha, line 408 · Rondal_06E, 2;6.30
    MOTfafa a r'tire sa culotte .
    CHIɛ̃?
    MOT*MOT: fafa a r'tire sa culotte ?
    CHIwi: .
    MOTpourquoi donc ?
  3. french/rondal_06e.cha, line 412 · Rondal_06E, 2;6.30
    MOTpourquoi donc ?
    CHIa: top .
    MOT*MOT: pourquoi est ce que fafa a r'tire sa culotte ?
    CHIvi top .
    MOTquoi ?

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_06E french2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_06e.chaRondal_06E 2;6.301,045332.87

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. r'tire3 · 100.0%