PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.50 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. et là ça tourne comment Mar . 1069273_1073950 MOT · french/lyon_mar06a.cha, line 591 · 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 591 · Marie, 1;2.27
    CHIyyy . 1050155_1058155
    MOTc'est dur de tourner xxx . 1064835_1069273
    MOT*MOT: et là ça tourne comment Mar . 1069273_1073950
    CHIyyy . 1073950_1078985
    CHIyyy . 1078985_1085673

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 french2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar06a.chaMarie 1;2.27800222.50

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.

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