PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,518 words searched).

  1. bon (.) t(u) as eu un an ? MOT · french/lyon_tim43a.cha, line 179 · Tim 3;00
  2. t(u) as eu un an ? 139635_141432 MOT · french/lyon_tim43a.cha, line 184 · Tim 3;00
  3. si c'est un an que tu as eu . MOT · french/lyon_tim43a.cha, line 191 · Tim 3;00
  1. french/lyon_tim43a.cha, line 179 · Tim, 3;0.3
    MOTtu racontes un peu ? 133860_134930
    MOTnon ? 134930_137802
    MOT*MOT: bon (.) t(u) as eu un an ?
    MOThein ? 137802_139635
    MOTt(u) as eu un an ? 139635_141432
  2. french/lyon_tim43a.cha, line 184 · Tim, 3;0.3
    MOTbon (.) t(u) as eu un an ?
    MOThein ? 137802_139635
    MOT*MOT: t(u) as eu un an ? 139635_141432
    CHInon . 141432_144133
    MOTsi c'est un an que tu as eu .
  3. french/lyon_tim43a.cha, line 191 · Tim, 3;0.3
    MOTt(u) as eu un an ? 139635_141432
    CHInon . 141432_144133
    MOT*MOT: si c'est un an que tu as eu .
    CHInon ! 144133_148115
    MOTnon ah bon ?

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 french1.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim43a.chaTim 3;0.31,518331.98

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. an3 · 100.0%