PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,167 words searched).

  1. ro:se (.) et nous on dit rose . 1115865_1122070 MOT · french/lyon_tim14a.cha, line 800 · Tim 1;06
  2. www [= ! rit] tout rose ? 1147355_1149502 MOT · french/lyon_tim14a.cha, line 844 · Tim 1;06
  3. hein un bébé tout rose ? MOT · french/lyon_tim14a.cha, line 846 · Tim 1;06
  1. MOTxxx [= ! murmure] .
    MOTro:se (.) l'accent du no:rd . 1110600_1115865
    MOT*MOT: ro:se (.) et nous on dit rose . 1115865_1122070
    CHI‹rose [?]› . 1122070_1125658
    CHIça . 1125658_1126893
  2. CHIbébé . 1144740_1145838
    MOTun bébé ? 1145838_1147355
    MOT*MOT: www [= ! rit] tout rose ? 1147355_1149502
    MOThein un bébé tout rose ?
    MOT<c'est lui> [/] c'est lui .
  3. MOTun bébé ? 1145838_1147355
    MOTwww [= ! rit] tout rose ? 1147355_1149502
    MOT*MOT: hein un bébé tout rose ?
    MOT<c'est lui> [/] c'est lui .
    MOTqui est-ce lui ? 1149502_1155180

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. Tim french2.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim14a.chaTim 1;6.231,167332.57

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. rose3 · 100.0%