PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (301 utterances, 1,368 words searched).

  1. you know what those are, huh ? MOT · eng_USA_Valian/19b.cha, line 133 · 19B 2;08
  2. what are those ? MOT · eng_USA_Valian/19b.cha, line 327 · 19B 2;08
  3. I don't know, you tell me what those are . MOT · eng_USA_Valian/19b.cha, line 333 · 19B 2;08
  4. those are pretty ones, aren't they ? MOT · eng_USA_Valian/19b.cha, line 354 · 19B 2;08
  5. what do you do with those ? MOT · eng_USA_Valian/19b.cha, line 448 · 19B 2;08
  6. you put Playdoh in the middle of those ? MOT · eng_USA_Valian/19b.cha, line 452 · 19B 2;08
  7. those are scissors . MOT · eng_USA_Valian/19b.cha, line 1236 · 19B 2;08
  1. eng_USA_Valian/19b.cha, line 133 · 19B, 2;8.24
    CHIxx .
    MOTmmm .
    MOT*MOT: you know what those are, huh ?
    CHIwhere's the knife ?
    CHIxx, where's the knife ?
  2. eng_USA_Valian/19b.cha, line 327 · 19B, 2;8.24
    CHIxxx .
    CHIwha(t) those ?
    MOT*MOT: what are those ?
    CHIxx .
    CHIxx .
  3. eng_USA_Valian/19b.cha, line 333 · 19B, 2;8.24
    CHIxx .
    CHIxx .
    MOT*MOT: I don't know, you tell me what those are .
    CHIxxx .
    MOTlook at this neat toy .
  4. eng_USA_Valian/19b.cha, line 354 · 19B, 2;8.24
    CHIxxx going . [+ V]
    CHIoh, xx .
    MOT*MOT: those are pretty ones, aren't they ?
    CHIxx goes in there .
    MOTyeah, you can close it, yup .
  5. eng_USA_Valian/19b.cha, line 448 · 19B, 2;8.24
    CHIuhuh .
    MOToh .
    MOT*MOT: what do you do with those ?
    CHII do with um Playdoh .
    MOTyou put Playdoh in the middle of those ?
  6. eng_USA_Valian/19b.cha, line 452 · 19B, 2;8.24
    MOTwhat do you do with those ?
    CHII do with um Playdoh .
    MOT*MOT: you put Playdoh in the middle of those ?
    CHIuhuh .
    MOToh, is that a spyglass ?
  7. eng_USA_Valian/19b.cha, line 1236 · 19B, 2;8.24
    MOTdo another one .
    CHIthose are scissors .
    MOT*MOT: those are scissors .
    CHIoh .
    MOTwhoops, that one's already cut .

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. 19B eng_USA_Valian5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19b.cha19B 2;8.241,368775.12

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. those7 · 100.0%