PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

11.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (67 utterances, 261 words searched).

  1. tu aimes bien ? MOT · french/rondal_37a.cha, line 30 · Rondal_37A 3;08
  2. tu n' aimes pas ? MOT · french/rondal_37a.cha, line 72 · Rondal_37A 3;08
  3. tu n' aimes pas deux cadeaux . MOT · french/rondal_37a.cha, line 74 · Rondal_37A 3;08
  1. french/rondal_37a.cha, line 30 · Rondal_37A, 3;8.12
    CHIwi mesi mamã [!] .
    MOTho: y a pas de quoi stephan .
    MOT*MOT: tu aimes bien ?
    CHIwi [!] .
    CHIvwa pa l me la tap .
  2. french/rondal_37a.cha, line 72 · Rondal_37A, 3;8.12
    MOTvoila .
    CHIa: dø kado mwa y em pa wɛ.
    MOT*MOT: tu n' aimes pas ?
    CHIdø kado mwa y em pa .
    MOTtu n' aimes pas deux cadeaux .
  3. french/rondal_37a.cha, line 74 · Rondal_37A, 3;8.12
    MOTtu n' aimes pas ?
    CHIdø kado mwa y em pa .
    MOT*MOT: tu n' aimes pas deux cadeaux .
    MOTtu n' veus pas ?
    CHInɔ̃ mwa z avi api bersdɛ tou mi vwaya .

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_37A french11.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_37a.chaRondal_37A 3;8.122613311.49

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. aimes3 · 100.0%