PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

5.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (740 utterances, 2,381 words searched).

  1. Babar in French . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 90 · Joelle 2;05
  2. why don't you try something in french . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 139 · Joelle 2;05
  3. you have something in french ? MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 153 · Joelle 2;05
  4. <in french yeah>[>] . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 158 · Joelle 2;05
  5. who else do we have in french . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 164 · Joelle 2;05
  6. we have Bugs Bunny in french . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 166 · Joelle 2;05
  7. and [>] Mickey Mouse in french ? MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 168 · Joelle 2;05
  8. in french . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 1095 · Joelle 2;05
  9. something in french ? MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 1097 · Joelle 2;05
  10. <try and keep it in french today> [>] . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 1101 · Joelle 2;05
  11. xxx some french . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 1207 · Joelle 2;05
  12. we have one in french <i just don't know where it is> [>] . MOT · bilingual_eng_french_Genesee/joe23b06s.cha, line 1209 · Joelle 2;05
  1. STRc'est idiot .
    STRc'est un truc bizarre .
    MOT*MOT: Babar in French .
    STRcomment il s'appelle déjà celui .
    MOTBarney .
  2. CHIxxx yy .
    MOTokay come joue .
    MOT*MOT: why don't you try something in french .
    MOTwhy don't you at least help her .
    MOTtry and +/.
  3. MOTwait .
    FATthere might be something i have here .
    MOT*MOT: you have something in french ?
    OBSwell, you have the Smurfs ?
    MOT<in french yeah>[>] .
  4. MOTyou have something in french ?
    OBSwell, you have the Smurfs ?
    MOT*MOT: <in french yeah>[>] .
    FAT<i have the Schtroumpfs>[<] .
    OBSmmhm ?
  5. FAT<i have the Schtroumpfs>[<] .
    OBSmmhm ?
    MOT*MOT: who else do we have in french .
    MOTwe have Bugs Bunny in french .
    MOTand [>] Mickey Mouse in french ?
  6. OBSmmhm ?
    MOTwho else do we have in french .
    MOT*MOT: we have Bugs Bunny in french .
    MOTand [>] Mickey Mouse in french ?
    FATxxx [<] .
  7. MOTwho else do we have in french .
    MOTwe have Bugs Bunny in french .
    MOT*MOT: and [>] Mickey Mouse in french ?
    FATxxx [<] .
    MOTxxs if she has a <bong in her mouth> [>] .
  8. CHIxxx [<] .
    FAThold on .
    MOT*MOT: in french .
    MOTsomething in french ?
    CHIxxx .
  9. FAThold on .
    MOTin french .
    MOT*MOT: something in french ?
    CHIxxx .
    MOT<try and keep it in french today> [>] .
  10. MOTsomething in french ?
    CHIxxx .
    MOT*MOT: <try and keep it in french today> [>] .
    FATxxx [<] .
    CHIduck .
  11. CHIyy .
    CHIyy .
    MOT*MOT: xxx some french .
    MOTwe have one in french <i just don't know where it is> [>] .
    STR<xxx Joelle> [<] .
  12. CHIyy .
    MOTxxx some french .
    MOT*MOT: we have one in french <i just don't know where it is> [>] .
    STR<xxx Joelle> [<] .
    OBSit's best if the <sound is turned off anyway> [>] .

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. Joelle bilingual_eng_french_Genesee5.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Genesee/joe23b06s.chaJoelle 2;5.232,38112125.04

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. french12 · 100.0%