PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (443 utterances, 1,567 words searched).

  1. he has nice eyes ? MOT · bilingual_eng_Genesee/gen33b06m.cha, line 42 · Gene 3;07
  2. that's not nice . MOT · bilingual_eng_Genesee/gen33b06m.cha, line 375 · Gene 3;07
  3. you have a nice tail . MOT · bilingual_eng_Genesee/gen33b06m.cha, line 550 · Gene 3;07
  4. you have a nice nosey too . MOT · bilingual_eng_Genesee/gen33b06m.cha, line 555 · Gene 3;07
  5. I'm nice . MOT · bilingual_eng_Genesee/gen33b06m.cha, line 780 · Gene 3;07
  6. look [<] I'm a nice . MOT · bilingual_eng_Genesee/gen33b06m.cha, line 785 · Gene 3;07
  7. nice to know that that's how I play [=! laughs] . MOT · bilingual_eng_Genesee/gen33b06m.cha, line 1173 · Gene 3;07
  8. do you think the picture is nice Maman ? MOT · bilingual_eng_Genesee/gen33b06m.cha, line 1722 · Gene 3;07
  1. CHIthis Gene .
    MOTit's Gene ?
    MOT*MOT: he has nice eyes ?
    CHIyeah he's [//] he take bite my yy là [/] là the bike [?] .
    MOToh yeah ?
  2. MOThey .
    MOTdon't throw your crayons on the xx like that .
    MOT*MOT: that's not nice .
    CHI0.
    MOTcome here Gene .
  3. CHIyeah like me [//] my tail ?
    MOTyeah [<] .
    MOT*MOT: you have a nice tail .
    CHIyeah .
    MOTyou have a nice nosey too .
  4. MOTyou have a nice tail .
    CHIyeah .
    MOT*MOT: you have a nice nosey too .
    CHII'm come back (o)kay ?
    MOTyou going to the store ?
  5. MOTI am not .
    CHIyeah .
    MOT*MOT: I'm nice .
    CHIyeah [>] .
    MOTlook [<] I'm a nice .
  6. MOTI'm nice .
    CHIyeah [>] .
    MOT*MOT: look [<] I'm a nice .
    MOT<look look> [/] look at my xxx .
    MOTsee my eye there ?
  7. MOTplay with me Maman .
    CHIxxx [=! laughs] .
    MOT*MOT: nice to know that that's how I play [=! laughs] .
    CHI0 [=! crashing sounds] .
    MOTMaman .
  8. MOTlemme [: let me] see .
    MOT0 [=! gasp] .
    MOT*MOT: do you think the picture is nice Maman ?
    CHIyeah .
    MOTyeah ?

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. Gene bilingual_eng_Genesee5.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/gen33b06m.chaGene 3;7.091,567885.11

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. nice8 · 100.0%