PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,609 words searched).

  1. oh that's a nice one . GRA · bilingual_eng_Deuchar/861023eg.cha, line 125 · M 1;03
  2. yes you do look nice . GRA · bilingual_eng_Deuchar/861023eg.cha, line 261 · M 1;03
  3. it's supposed to be nice near there at Sheffield Park . MOT · bilingual_eng_Deuchar/861023eg.cha, line 621 · M 1;03
  4. Granny's are very nice . GRA · bilingual_eng_Deuchar/861023eg.cha, line 793 · M 1;03
  1. GRAwho's that ?
    CHI0.
    GRA*GRA: oh that's a nice one .
    GRAballie .
    CHIyyy .
  2. MOT<I think yes we will have a pause alright> [?] .
    CHIyyy [<] .
    GRA*GRA: yes you do look nice .
    GRAand that is # mummy # mum .
    GRAwho's it ?
  3. MOThad you been before ?
    GRAwe took Alexander yes great fun very very suitable trip .
    MOT*MOT: it's supposed to be nice near there at Sheffield Park .
    GRAyes it is .
    GRAwe've been in there once but +/.
  4. GRAyes # those are Granny's shoes .
    MOTthose are horrid shoes Granny has .
    GRA*GRA: Granny's are very nice .
    GRAGranny cleaned her shoes this morning .
    CHIyyy .

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. M bilingual_eng_Deuchar2.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609442.49

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. nice4 · 100.0%