PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,827 words searched).

  1. that's a cabbage . MOT · eng_british_Manchester_II/nic17b.cha, line 599 · Nicole 2;06
  2. you like cabbage , don't you ? MOT · eng_british_Manchester_II/nic17b.cha, line 601 · Nicole 2;06
  3. cabbage . MOT · eng_british_Manchester_II/nic17b.cha, line 607 · Nicole 2;06
  4. you like cabbage . MOT · eng_british_Manchester_II/nic17b.cha, line 613 · Nicole 2;06
  1. MOTxxx .
    MOTthat must be new .
    MOT*MOT: that's a cabbage .
    MOTyou like cabbage , don't you ?
    MOTyeah .
  2. MOTthat must be new .
    MOTthat's a cabbage .
    MOT*MOT: you like cabbage , don't you ?
    MOTyeah .
    CHIwhere 0is [*] carrot ?
  3. MOTyeah .
    CHIwhere 0is [*] carrot ?
    MOT*MOT: cabbage .
    CHIcabbage .
    MOTmmhm .
  4. CHIcabbage .
    MOTmmhm .
    MOT*MOT: you like cabbage .
    CHINicole like onion .
    CHIlike tomatos .

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. Nicole eng_british_Manchester_II2.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17b.chaNicole 2;6.161,827442.19

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. cabbage4 · 100.0%