PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 427 words searched).

  1. yeah # that's a little one # too . MOT · eng_USA_Bates/nan28.cha, line 349 · Nan 2;04
  2. remember this is how the one you got works too . MOT · eng_USA_Bates/nan28.cha, line 418 · Nan 2;04
  3. yeah # that works too . MOT · eng_USA_Bates/nan28.cha, line 524 · Nan 2;04
  1. CHIthis one yyy .
    CHIthat a little one .
    MOT*MOT: yeah # that's a little one # too .
    CHIthat xxx little one .
    MOTno # it's not the littlest but it's kind of little .
  2. CHIyeah .
    MOTok # let's take +...
    MOT*MOT: remember this is how the one you got works too .
    MOTshould +...
    MOTwhere should we put the people ?
  3. MOTthat one works .
    CHIthis one works # too .
    MOT*MOT: yeah # that works too .
    CHIO .
    MOThere we can take some more people out of the xxx .

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. Nan eng_USA_Bates7.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan28.chaNan 2;4.427337.03

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. too3 · 100.0%