PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,532 words searched).

  1. yes # this is a very much um # in her style isn't it ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 253 · M 1;11
  2. yes that was very clever . GRA · bilingual_eng_Deuchar/870528eg.cha, line 479 · M 1;11
  3. yes that is very good <isn't it> [>] ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 484 · M 1;11
  4. very good . MOT · bilingual_eng_Deuchar/870528eg.cha, line 534 · M 1;11
  5. egg # very good . MOT · bilingual_eng_Deuchar/870528eg.cha, line 545 · M 1;11
  1. GRA<nasty bruise> [<] .
    MOTyes .
    GRA*GRA: yes # this is a very much um # in her style isn't it ?
    GRAfor wanting words for different tongues .
    MOTmmm .
  2. MOTballena no that is a dolphin .
    CHIdolphin .
    GRA*GRA: yes that was very clever .
    MOTdolphin .
    CHIdolphin .
  3. MOTdolphin .
    CHIdolphin .
    GRA*GRA: yes that is very good <isn't it> [>] ?
    MOTdolphin [<] .
    CHIdolphin .
  4. CHIeight .
    CHIone .
    MOT*MOT: very good .
    GRA0.
    CHIand .
  5. MOTnow mummy wants to have a <look at another page> [>] .
    CHI<egg egg> [/] [<] egg .
    MOT*MOT: egg # very good .
    GRAhave you got the camera going ?
    MOTyes .

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_Deuchar3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870528eg.chaM 1;11.041,532553.26

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. very5 · 100.0%