PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 1,656 words searched).

  1. what's her name ? MOT · eng_british_Manchester_I/anne21a.cha, line 334 · Anne 2;05
  2. um we could call her +... MOT · eng_british_Manchester_I/anne21a.cha, line 336 · Anne 2;05
  3. we could call her Sophie . MOT · eng_british_Manchester_I/anne21a.cha, line 346 · Anne 2;05
  4. shall we call her Rachel ? MOT · eng_british_Manchester_I/anne21a.cha, line 360 · Anne 2;05
  5. now she can have her dinner . MOT · eng_british_Manchester_I/anne21a.cha, line 516 · Anne 2;05
  6. does she need a spoon for her dinner ? MOT · eng_british_Manchester_I/anne21a.cha, line 520 · Anne 2;05
  7. to do her cooking . MOT · eng_british_Manchester_I/anne21a.cha, line 706 · Anne 2;05
  1. MOTlittle girl .
    CHIwhat's her name ?
    MOT*MOT: what's her name ?
    MOTum we could call her +...
    CHIthere's a little girl .
  2. CHIwhat's her name ?
    MOTwhat's her name ?
    MOT*MOT: um we could call her +...
    CHIthere's a little girl .
    MOTwell .
  3. MOTwhat [/] what shall we call the little girl ?
    CHIno .
    MOT*MOT: we could call her Sophie .
    CHIno .
    CHInot Sophie .
  4. CHInot Sophie .
    MOTokay .
    MOT*MOT: shall we call her Rachel ?
    CHIno .
    MOTno ?
  5. MOToh .
    MOTis she gonna [: going to] sit like that ?
    MOT*MOT: now she can have her dinner .
    MOToh .
    MOTdoes she need a spoon for her dinner ?
  6. MOTnow she can have her dinner .
    MOToh .
    MOT*MOT: does she need a spoon for her dinner ?
    CHIyum .
    CHIgot a cake .
  7. MOTthat's a very big oven ,, isn't it ?
    MOTwhen Mummy comes to stand at that end she willn't be able to see over the top ,, will she ?
    MOT*MOT: to do her cooking .
    MOTdo you think ?
    MOTwhat do you think ?

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. Anne eng_british_Manchester_I4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne21a.chaAnne 2;5.021,656774.23

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. her7 · 100.0%