PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 800 words searched).

  1. tu as vu comment on faisait ? MOT · french/lyon_mar06a.cha, line 276 · Marie 1;02
  2. houp là tu l'as oublié . 750455_751756 MOT · french/lyon_mar06a.cha, line 424 · Marie 1;02
  3. tu as vu ? MOT · french/lyon_mar06a.cha, line 457 · Marie 1;02
  1. french/lyon_mar06a.cha, line 276 · Marie, 1;2.27
    MOTet là ? 585788_587040
    CHIxxx . 587040_593955
    MOT*MOT: tu as vu comment on faisait ?
    CHIyyy . 593955_600063
    CHIyyy .
  2. french/lyon_mar06a.cha, line 424 · Marie, 1;2.27
    CHInon .
    CHIyyy . 743785_750458
    MOT*MOT: houp là tu l'as oublié . 750455_751756
    CHItiens yyy . 751756_757146
    CHIyyy . 757115_758868
  3. french/lyon_mar06a.cha, line 457 · Marie, 1;2.27
    MOThoup là .
    GERle pied .
    MOT*MOT: tu as vu ?
    MOTtu t'es pris le pied dans les pieds . 770020_771435
    MOTil faut que je m'enlève ? 781858_784995

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 french3.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar06a.chaMarie 1;2.27800333.75

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. as3 · 100.0%