PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,218 words searched).

  1. quite a few that need sharpening . MOT · eng_british_Manchester_II/john32a.cha, line 784 · John 2;10
  2. that needs sharpening too . MOT · eng_british_Manchester_II/john32a.cha, line 797 · John 2;10
  3. can you give me another one that needs sharpening ? MOT · eng_british_Manchester_II/john32a.cha, line 816 · John 2;10
  1. eng_british_Manchester_II/john32a.cha, line 784 · John, 2;10.09
    MOTand that one .
    MOTget you another box I think .
    MOT*MOT: quite a few that need sharpening .
    MOTcan you manage ?
    MOTvery good .
  2. eng_british_Manchester_II/john32a.cha, line 797 · John, 2;10.09
    CHIand white .
    MOTand the yellow .
    MOT*MOT: that needs sharpening too .
    MOTput the ones you've done over there .
    MOTokay .
  3. eng_british_Manchester_II/john32a.cha, line 816 · John, 2;10.09
    MOTokay .
    CHIxxx .
    MOT*MOT: can you give me another one that needs sharpening ?
    MOTone of these .
    CHIyes .

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. John eng_british_Manchester_II2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john32a.chaJohn 2;10.091,218332.46

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. sharpening3 · 100.0%