PHPCLANCHILDES with regular expressions

1 match in 1 utterance

1.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 797 words searched).

  1. +< et après tu vas m(e) faire enlever l(e) short c'est ça ? 1484290_1506283 MOT · french/lyon_nat17b.cha, line 783 · Nathan 1;09
  1. MOTben tu les enlèves voilà .
    MOTtu les enlèves tout seul . 1481347_1484290
    MOT*MOT: +< et après tu vas m(e) faire enlever l(e) short c'est ça ? 1484290_1506283
    CHIyyy . 1506283_1532052
    CHI‹yyy (.)› yyy . 1532052_1543915

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 french1.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17b.chaNathan 1;9.3797111.25

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. enlever1 · 100.0%