PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (446 utterances, 1,715 words searched).

  1. a zebra . MOT · eng_USA_Valian/10a.cha, line 545 · 10A 2;05
  2. zebra . MOT · eng_USA_Valian/10a.cha, line 549 · 10A 2;05
  3. heres a zebra . MOT · eng_USA_Valian/10a.cha, line 1142 · 10A 2;05
  4. it's a zebra . MOT · eng_USA_Valian/10a.cha, line 1148 · 10A 2;05
  5. this is a zebra . MOT · eng_USA_Valian/10a.cha, line 1154 · 10A 2;05
  1. CHIhorsie .
    MOTa horsie ?
    MOT*MOT: a zebra .
    MOTxxx .
    MOTzebra .
  2. MOTa zebra .
    MOTxxx .
    MOT*MOT: zebra .
    CHIxxx .
    MOTa what ?
  3. MOTor his tail .
    MOTI don't know what you're looking at .
    MOT*MOT: heres a zebra .
    MOTsee his stripes ?
    CHIhorsie .
  4. MOTsee his stripes ?
    CHIhorsie .
    MOT*MOT: it's a zebra .
    CHIzebra .
    MOTthis is a horsie .
  5. CHIzebra .
    MOTthis is a horsie .
    MOT*MOT: this is a zebra .
    MOThe's different .
    CHIthis is a xx .

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. 10A eng_USA_Valian2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/10a.cha10A 2;5.021,715552.92

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. zebra5 · 100.0%