PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (226 utterances, 1,057 words searched).

  1. ooh # oh ! GRA · bilingual_eng_Deuchar/871126eg.cha, line 199 · M 2;05
  2. ooh ! GRA · bilingual_eng_Deuchar/871126eg.cha, line 309 · M 2;05
  3. I can see you are touching my jumper # ooh # and I'm touching your jumper . GRA · bilingual_eng_Deuchar/871126eg.cha, line 989 · M 2;05
  1. bilingual_eng_Deuchar/871126eg.cha, line 199 · M, 2;5.02
    GRAxxx [<] .
    CHIlook # one more !
    GRA*GRA: ooh # oh !
    GRAyou clever thing # shall we take that off ?
    CHIyes .
  2. bilingual_eng_Deuchar/871126eg.cha, line 309 · M, 2;5.02
    CHIokay ?
    CHInow this one .
    GRA*GRA: ooh !
    GRAoh dear !
    CHIour train's fallen down .
  3. bilingual_eng_Deuchar/871126eg.cha, line 989 · M, 2;5.02
    GRAxx [=! laughs] yes but you should even xxx [>] .
    CHI<yyy right> [<] .
    GRA*GRA: I can see you are touching my jumper # ooh # and I'm touching your jumper .
    CHIyes .
    GRAnice green jumper yours isn't it ?

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_Deuchar2.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/871126eg.chaM 2;5.021,057332.84

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. ooh3 · 100.0%