PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,523 words searched).

  1. alors vas_y ? 632698_637570 MOT · french/lyon_nat27b.cha, line 555 · Nathan 2;02
  2. non ouvre vas_y ? 688297_690633 MOT · french/lyon_nat27b.cha, line 613 · Nathan 2;02
  3. vas_y ? 915828_917993 MOT · french/lyon_nat27b.cha, line 865 · Nathan 2;02
  4. bon alors vas_y . 1636015_1639222 MOT · french/lyon_nat27b.cha, line 1601 · Nathan 2;02
  1. MOTallez vas ? 629918_632698
    CHImh .
    MOT*MOT: alors vas_y ? 632698_637570
    MOTnon alors mon Nanou i(l) faut qu(e) tu prennes +/.
    MOTj(e) crois qu(e) tes doigts sont trop p(e)tits . 637570_650158
  2. MOTça s(e)ra plus facile bien ! 684128_687082
    MOTencore ? 687082_688297
    MOT*MOT: non ouvre vas_y ? 688297_690633
    MOTvoilà encore ? 690633_692560
    MOTvoilà ! 692560_694883
  3. MOTouvre [/] ouvre ? 911212_913380
    MOTnon là tu déchires tu coupes pas . 913380_915828
    MOT*MOT: vas_y ? 915828_917993
    MOTah ah encore un p(e)tit peu ? 917993_920282
    MOTouvre [/] ouvre ? 920282_921850
  4. MOTtu veux continuer ?
    CHImh .
    MOT*MOT: bon alors vas_y . 1636015_1639222
    MOTmaint(e)nant c(ette) heure là . 1639222_1643348
    MOTje m'occupe des pâtes . 1643348_1657003

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. Nathan french2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat27b.chaNathan 2;2.231,523442.63

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. vas_y4 · 100.0%