PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,309 words searched).

  1. I have some spoons . MOT · eng_USA_Valian/19a.cha, line 544 · 19A 2;08
  2. how many spoons are there ? MOT · eng_USA_Valian/19a.cha, line 548 · 19A 2;08
  3. three spoons . MOT · eng_USA_Valian/19a.cha, line 555 · 19A 2;08
  4. how many spoons are up here ? MOT · eng_USA_Valian/19a.cha, line 1145 · 19A 2;08
  1. eng_USA_Valian/19a.cha, line 544 · 19A, 2;8.15
    CHIcan I have some more ju:ice [% extra emphasis on last word] ?
    CHI&ca [% interrupted by MOT] +/.
    MOT*MOT: I have some spoons .
    CHIno .
    MOThow many spoons are there ?
  2. eng_USA_Valian/19a.cha, line 548 · 19A, 2;8.15
    MOTI have some spoons .
    CHIno .
    MOT*MOT: how many spoons are there ?
    CHIone two three four of them ?
    MOToh [=? no], watch, there are three, aren't there ?
  3. eng_USA_Valian/19a.cha, line 555 · 19A, 2;8.15
    CHIone two three four of them ?
    MOToh [=? no], watch, there are three, aren't there ?
    MOT*MOT: three spoons .
    MOTuhoh .
    CHImy chair falled down .
  4. eng_USA_Valian/19a.cha, line 1145 · 19A, 2;8.15
    MOToh there they are .
    MOTlet me ask you something .
    MOT*MOT: how many spoons are up here ?
    CHIxxx .
    MOTmhm .

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. 19A eng_USA_Valian3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309443.06

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. spoons4 · 100.0%