PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (166 utterances, 682 words searched).

  1. un baiser ? MOT · french/pauline_15a.cha, line 416 · Pauline 1;02
  2. un baiser . MOT · french/pauline_15a.cha, line 420 · Pauline 1;02
  3. encore un baiser sur le pied ? MOT · french/pauline_15a.cha, line 589 · Pauline 1;02
  1. CHIava@b .
    MOTet tu allais te cacher derrière la porte .
    MOT*MOT: un baiser ?
    MOTtu te mets debout ?
    MOTun baiser .
  2. MOTun baiser ?
    MOTtu te mets debout ?
    MOT*MOT: un baiser .
    MOTpapa va te faire le câlin hein ?
    MOTma douce .
  3. CHIkieyaka@b .
    MOTencore ?
    MOT*MOT: encore un baiser sur le pied ?
    MOTsur la chaussette plus exactement .
    MOTencore ?

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. Pauline french4.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/pauline_15a.chaPauline 1;2.30682334.40

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. baiser3 · 100.0%