PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

7.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (110 utterances, 525 words searched).

  1. cake ? MOT · eng_USA_Bates/keith28.cha, line 369 · Keith 2;04
  2. is <little Abl [?]> [//] little girl eating her cake ? MOT · eng_USA_Bates/keith28.cha, line 400 · Keith 2;04
  3. eatin(g) her cake . MOT · eng_USA_Bates/keith28.cha, line 407 · Keith 2;04
  4. chocolate cake . MOT · eng_USA_Bates/keith28.cha, line 527 · Keith 2;04
  1. MOTwhat else ?
    CHIum cake !
    MOT*MOT: cake ?
    CHIyeah !
    MOTand salad .
  2. CHII like cake !
    CHIkim_kim_kim_kim_kim@wp .
    MOT*MOT: is <little Abl [?]> [//] little girl eating her cake ?
    CHIcake .
    MOTeatin(g) her cake .
  3. MOTis <little Abl [?]> [//] little girl eating her cake ?
    CHIcake .
    MOT*MOT: eatin(g) her cake .
    CHImm [= yum] that's good [!] !
    CHII don't want be here .
  4. MOTwhat kind of food did you buy ?
    CHIchocolate cake .
    MOT*MOT: chocolate cake .
    CHI<an(d) # an(d)> [/] an(d) cranberry whip(ped) cream .
    MOTcranberry whip(ped) cream ?

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. Keith eng_USA_Bates7.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/keith28.chaKeith 2;4.525447.62

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. cake4 · 100.0%