PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 1,889 words searched).

  1. where's the table gone then ? MOT · eng_british_Manchester_I/anne20a.cha, line 1152 · Anne 2;04
  2. stand up , table . MOT · eng_british_Manchester_I/anne20a.cha, line 1160 · Anne 2;04
  3. not a very good table ,, is it ? MOT · eng_british_Manchester_I/anne20a.cha, line 1166 · Anne 2;04
  4. perhaps we'd better not bother with that table . MOT · eng_british_Manchester_I/anne20a.cha, line 1198 · Anne 2;04
  5. can we pretend that's a table instead ? MOT · eng_british_Manchester_I/anne20a.cha, line 1201 · Anne 2;04
  1. MOToh .
    MOToh .
    MOT*MOT: where's the table gone then ?
    MOThere it is .
    CHIwhoopsie .
  2. CHIwhoopsie .
    MOTwhoops .
    MOT*MOT: stand up , table .
    MOToh .
    MOTfell down again .
  3. MOToh .
    MOTfell down again .
    MOT*MOT: not a very good table ,, is it ?
    CHIno .
    MOTno .
  4. CHIxxx .
    MOToh .
    MOT*MOT: perhaps we'd better not bother with that table .
    MOTcan we pretend that's a table instead ?
    CHIyes .
  5. MOToh .
    MOTperhaps we'd better not bother with that table .
    MOT*MOT: can we pretend that's a table instead ?
    CHIyes .
    CHIyeah .

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. Anne eng_british_Manchester_I2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne20a.chaAnne 2;4.141,889552.65

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. table5 · 100.0%