PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (358 utterances, 1,492 words searched).

  1. this is sharp . MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 859 · Michael 2;02
  2. just like a knife is sharp . MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 861 · Michael 2;02
  3. now, could you put the backing on to the sharp point please ? MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 865 · Michael 2;02
  4. it's sharp . MOT · eng_USA_Demetras_Trevor/m_mot03.cha, line 870 · Michael 2;02
  1. MOTlet me # push this here .
    MOTlet me .
    MOT*MOT: this is sharp .
    MOTjust like a knife is sharp .
    MOTokay .
  2. MOTlet me .
    MOTthis is sharp .
    MOT*MOT: just like a knife is sharp .
    MOTokay .
    MOTnow, could you put the backing on to the sharp point please ?
  3. MOTjust like a knife is sharp .
    MOTokay .
    MOT*MOT: now, could you put the backing on to the sharp point please ?
    MOTbut be careful .
    MOTit's sharp .
  4. MOTnow, could you put the backing on to the sharp point please ?
    MOTbut be careful .
    MOT*MOT: it's sharp .
    MOTcareful of your fingers .
    MOTthere you go .

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. Michael eng_USA_Demetras_Trevor2.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/m_mot03.chaMichael 2;2.201,492442.68

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. sharp4 · 100.0%