PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,183 words searched).

  1. moi aussi j'ai un micro . MOT · french/lyon_ana10a.cha, line 41 · Anais 1;05
  2. ah j'ai perdu l(e) bidule . 521513_523461 MOT · french/lyon_ana10a.cha, line 511 · Anais 1;05
  3. j'ai cassé l(e) matériel . 578398_581078 MOT · french/lyon_ana10a.cha, line 548 · Anais 1;05
  1. CHIyyy . 19315_19998
    MOTça ? 19995_20718
    MOT*MOT: moi aussi j'ai un micro .
    MOTtu vois . 20715_22268
    MOTça y est . 22268_24838
  2. MOTouais .
    MOTvas_y . 520105_521513
    MOT*MOT: ah j'ai perdu l(e) bidule . 521513_523461
    MOTallez , monte . 523460_525318
    MOTt(u) es dans l(e) bon sens là ? 528475_530385
  3. CHIwww [= ! rit] . 550595_557518
    MOTça t'amuses ça . 557518_559598
    MOT*MOT: j'ai cassé l(e) matériel . 578398_581078
    MOTça va là ? 594275_599958
    MOTwww [= ! rit] . 599958_602000

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. Anais french2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana10a.chaAnais 1;5.31,183332.54

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. j'ai3 · 100.0%