PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

6.32 per 1,000 words of the child (CHI), in 1 of 1 transcripts (232 utterances, 475 words searched).

  1. Munching_Mike . CHI · eng_british_Manchester_I/anne25a.cha, line 1481 · Anne 2;06
  2. Munching_Mike . CHI · eng_british_Manchester_I/anne25a.cha, line 1493 · Anne 2;06
  3. Munching_Mike . CHI · eng_british_Manchester_I/anne25a.cha, line 1768 · Anne 2;06
  1. eng_british_Manchester_I/anne25a.cha, line 1481 · Anne, 2;6.29
    MOTAnne_Lisa .
    MOTwhat shall I write at the beginning then ?
    CHI*CHI: Munching_Mike .
    MOTat the beginning of your name ?
    CHIyou do your name first .
  2. eng_british_Manchester_I/anne25a.cha, line 1493 · Anne, 2;6.29
    MOTyou want me to do my name first .
    MOTthere we are then .
    CHI*CHI: Munching_Mike .
    MOTthere's lots of Munching_Mikes in my name ,, isn't there ?
    CHIyeah .
  3. eng_british_Manchester_I/anne25a.cha, line 1768 · Anne, 2;6.29
    MOTyeah .
    MOTvery good .
    CHI*CHI: Munching_Mike .
    MOTis it a Munching_Mike ?
    MOTlooks like lots of dots .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_I6.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.29475336.32

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. munching_mike3 · 100.0%