PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (553 utterances, 2,245 words searched).

  1. that's what you're thinking of . MOT · eng_british_Manchester_I/anne14a.cha, line 592 · Anne 2;02
  2. shall we make some of these cows [//] these +//. MOT · eng_british_Manchester_I/anne14a.cha, line 597 · Anne 2;02
  3. I can see lots of baby animals . MOT · eng_british_Manchester_I/anne14a.cha, line 846 · Anne 2;02
  4. seems to be a cow on top of the mountain . INV · eng_british_Manchester_I/anne14a.cha, line 858 · Anne 2;02
  5. she's picking lots of grass ,, isn't she ? MOT · eng_british_Manchester_I/anne14a.cha, line 1307 · Anne 2;02
  6. get out of the island ? MOT · eng_british_Manchester_I/anne14a.cha, line 1787 · Anne 2;02
  7. what can you think of ? MOT · eng_british_Manchester_I/anne14a.cha, line 1891 · Anne 2;02
  1. MOTyes .
    MOTwe went to the woods and we had to be careful ,, didn't we where we walked .
    MOT*MOT: that's what you're thinking of .
    MOTis that right ?
    MOTshall we make some of these cows [//] these +//.
  2. MOTthat's what you're thinking of .
    MOTis that right ?
    MOT*MOT: shall we make some of these cows [//] these +//.
    MOTwe were gonna [: going to] get the animals out ,, weren't we with the road .
    CHIoh .
  3. MOThe could go for a walk on the path .
    MOTand say oh look .
    MOT*MOT: I can see lots of baby animals .
    MOTI wonder where their mummys are .
    CHIin there .
  4. MOToh .
    MOTand there's all the mummy animals .
    INV*INV: seems to be a cow on top of the mountain .
    MOToh .
    MOTwell .
  5. MOTwhat about me ?
    MOToh .
    MOT*MOT: she's picking lots of grass ,, isn't she ?
    MOTlooks as if Daddy's gone to sleep , Anne .
    CHIno .
  6. MOTit's like going round the island ,, isn't it ?
    CHIyou get out of island .
    MOT*MOT: get out of the island ?
    MOTalright .
    CHIgo round .
  7. MOTwhat ?
    MOTa different song ?
    MOT*MOT: what can you think of ?
    CHIlook .
    CHIa 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. Anne eng_british_Manchester_I3.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne14a.chaAnne 2;2.122,245773.12

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.

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