PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (283 utterances, 1,136 words searched).

  1. tu sais tout ne se met pas à la bouche Mar . 784393_788338 MOT · french/lyon_mar01a.cha, line 729 · Marie 1;00
  2. tout ça ? 1306831_1308180 MOT · french/lyon_mar01a.cha, line 1070 · Marie 1;00
  3. tout yyy . 1308180_1313306 MOT · french/lyon_mar01a.cha, line 1072 · Marie 1;00
  1. MOTtu veux tenir sur tes deux pieds ? 780485_782500
    MOThoplà . 782500_784393
    MOT*MOT: tu sais tout ne se met pas à la bouche Mar . 784393_788338
    MOT&tututu . 788338_791320
    MOTwww [= ! rit] tu l'as bien [* fc] en main hein ? 791320_797500
  2. CHIyyy . 1296260_1300103
    CHIyyy . 1300103_1306831
    MOT*MOT: tout ça ? 1306831_1308180
    MOTtout yyy . 1308180_1313306
    MOTet pas yyy .
  3. CHIyyy . 1300103_1306831
    MOTtout ça ? 1306831_1308180
    MOT*MOT: tout yyy . 1308180_1313306
    MOTet pas yyy .
    CHIyyy . 1313306_1318713

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 french2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar01a.chaMarie 1;0.21,136332.64

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. tout3 · 100.0%