PHPCLANCHILDES with regular expressions

9 matches in 6 utterances

5.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,552 words searched).

  1. no, what does he do with a bulldozer, honey ? MOT · bilingual_eng_Genesee/oli23b06m.cha, line 35 · Olivier 2;06
  2. no, careful honey . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 65 · Olivier 2;06
  3. no no . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 614 · Olivier 2;06
  4. no no . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 614 · Olivier 2;06
  5. no . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 854 · Olivier 2;06
  6. no, honey . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 1131 · Olivier 2;06
  7. honey, <no no> [/] no . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 1208 · Olivier 2;06
  8. honey, <no no> [/] no . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 1208 · Olivier 2;06
  9. honey, <no no> [/] no . MOT · bilingual_eng_Genesee/oli23b06m.cha, line 1208 · Olivier 2;06
  1. MOTand what does he do with the bulldozer ?
    CHI<yy l'avait tout> [?] .
    MOT*MOT: no, what does he do with a bulldozer, honey ?
    CHIyyy .
    CHIy ramasse tout the [?] niege .
  2. MOTfrom the land, yeah .
    MOTround and round .
    MOT*MOT: no, careful honey .
    MOTdon't disturb the camera .
    MOTbring it back here .
  3. MOTwhat's the name of this truck ?
    CHIa fire engine .
    MOT*MOT: no no .
    MOTit's a tow truck .
    CHIa tow truck .
  4. MOTyou want Mommy to sit there again ?
    CHIno .
    MOT*MOT: no .
    MOTis Olivier gonna [: going to] sit there ?
    CHIoui .
  5. CHIsee later Daddy .
    FATsee you xxx .
    MOT*MOT: no, honey .
    MOTwhy don't you leave your bicycle for now, okay ?
    CHIje les [?] pousse la neige .
  6. CHIyyy .
    CHIje veux push la neige .
    MOT*MOT: honey, <no no> [/] no .
    MOTcome off the bike .
    MOTcause, you know what you're doing ?

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. Olivier bilingual_eng_Genesee5.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b06m.chaOlivier 2;6.031,552695.80

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. no9 · 100.0%