PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 1,935 words searched).

  1. …ecitation of one two three four five once I caught a fish alive which she seems to know all the words of . MOT · bilingual_eng_Deuchar/880114eg.cha, line 93 · M 2;06
  2. she does love those things but they are a bit +... MOT · bilingual_eng_Deuchar/880114eg.cha, line 136 · M 2;06
  3. oh clever you # she brought this back from Miami did she ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 200 · M 2;06
  4. oh clever you # she brought this back from Miami did she ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 200 · M 2;06
  5. did she # at Christmas time ? GRA · bilingual_eng_Deuchar/880114eg.cha, line 721 · M 2;06
  1. bilingual_eng_Deuchar/880114eg.cha, line 93 · M, 2;6.21
    CHIyyy .
    CHIwhy did you let it go xxx finger so # what finger did he bite # this little finger on my right .
    MOT*MOT: very good [=! laughs] you just missed a rec [>] [//] you just missed a recitation of one two three four five once I caught a fish alive which she seems to know all the words of .
    CHIokay [<] .
    GRAmmm !
  2. bilingual_eng_Deuchar/880114eg.cha, line 136 · M, 2;6.21
    GRAwe'll just muck around and +...
    MOTI'll get some more toys in case you need more .
    MOT*MOT: she does love those things but they are a bit +...
    GRAwell they're good things to do with an adult I think .
    MOTyes [>] .
  3. bilingual_eng_Deuchar/880114eg.cha, line 200 · M, 2;6.21
    GRA<can you find> [<] that one ?
    CHII can find a bit here .
    GRA*GRA: oh clever you # she brought this back from Miami did she ?
    MOTno no it was [>] a present from colleagues of mine our friends in Germany .
    GRAoh [<] .
  4. bilingual_eng_Deuchar/880114eg.cha, line 721 · M, 2;6.21
    GRAxx [=! laughs] lovely money # who gave you the money M ?
    CHImummy .
    GRA*GRA: did she # at Christmas time ?
    CHImmm .
    GRAdid you have a lovely time at Christmas ?

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_Deuchar2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/880114eg.chaM 2;6.211,935452.58

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. she5 · 100.0%