PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (251 utterances, 891 words searched).

  1. tu te mets là . MOT · french/lyon_mar01b.cha, line 188 · Marie 1;00
  2. tu mets le museau dans la bouche . 772060_782305 MOT · french/lyon_mar01b.cha, line 537 · Marie 1;00
  3. mets ta main . 1343830_1353383 MOT · french/lyon_mar01b.cha, line 896 · Marie 1;00
  1. MOTtu le ramasses le livre non ? 293438_296275
    MOTmhm mhm . 296275_300060
    MOT*MOT: tu te mets là .
    GERvoilà: .
    GERoh un beau sourire . 300060_309820
  2. MOTtout doux il est .
    MOTregarde comme il est tout doux . 765753_772060
    MOT*MOT: tu mets le museau dans la bouche . 772060_782305
    CHItiens .
    MOTtu m(e) le rends ? 782305_784586
  3. CHIyyy yyy yyy yyy yyy yyy yyy yyy yyy yyy yyy . 1325238_1343830
    MOTallez !
    MOT*MOT: mets ta main . 1343830_1353383
    MOTvoilà !
    MOTah: merci . 1353383_1369790

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. Marie french3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar01b.chaMarie 1;0.2891333.37

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. mets3 · 100.0%