PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 736 words searched).

  1. et . 446500_449340 MOT · french/lyon_nat15b.cha, line 328 · Nathan 1;07
  2. et puis on va s(e) préparer +//. MOT · french/lyon_nat15b.cha, line 536 · Nathan 1;07
  1. MOTun .
    MOTdeux .
    MOT*MOT: et . 446500_449340
    MOTtrois . 449340_464540
    CHIwww [= ! rit] . 464540_469997
  2. MOTon va aller faire couler le bain . 838873_841260
    MOThein ? 841260_843275
    MOT*MOT: et puis on va s(e) préparer +//.
    MOT+, pour aller dans le bain . 843275_846135
    MOTtu veux ? 846135_847635

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. Nathan french2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat15b.chaNathan 1;7.22736222.72

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. et2 · 100.0%