PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (540 utterances, 2,043 words searched).

  1. alright . MOT · eng_british_Manchester_I/anne14b.cha, line 281 · Anne 2;02
  2. alright . MOT · eng_british_Manchester_I/anne14b.cha, line 811 · Anne 2;02
  3. alright . MOT · eng_british_Manchester_I/anne14b.cha, line 893 · Anne 2;02
  4. alright . MOT · eng_british_Manchester_I/anne14b.cha, line 1557 · Anne 2;02
  5. alright then . MOT · eng_british_Manchester_I/anne14b.cha, line 1676 · Anne 2;02
  6. alright then . MOT · eng_british_Manchester_I/anne14b.cha, line 1682 · Anne 2;02
  7. I'm alright thank you . INV · eng_british_Manchester_I/anne14b.cha, line 1709 · Anne 2;02
  1. eng_british_Manchester_I/anne14b.cha, line 281 · Anne, 2;2.12
    CHInot those .
    MOToh .
    MOT*MOT: alright .
    CHIxxx .
    CHInot need this .
  2. eng_british_Manchester_I/anne14b.cha, line 811 · Anne, 2;2.12
    MOTokay .
    CHIgonna [: going to] put lots in .
    MOT*MOT: alright .
    CHIput it in .
    MOTyou tell me when the picnic's all ready .
  3. eng_british_Manchester_I/anne14b.cha, line 893 · Anne, 2;2.12
    MOTokay .
    CHIxxx .
    MOT*MOT: alright .
    MOThere we go .
    INVbye .
  4. eng_british_Manchester_I/anne14b.cha, line 1557 · Anne, 2;2.12
    CHIwant play with Duplo .
    MOTplay with the Duplo .
    MOT*MOT: alright .
    CHIDuplo .
    MOTin here .
  5. eng_british_Manchester_I/anne14b.cha, line 1676 · Anne, 2;2.12
    MOTshall I bring you one in here ?
    CHIyeah .
    MOT*MOT: alright then .
    CHII 0am [*] coming with you .
    MOTyou're coming with me ?
  6. eng_british_Manchester_I/anne14b.cha, line 1682 · Anne, 2;2.12
    CHII 0am [*] coming with you .
    MOTyou're coming with me ?
    MOT*MOT: alright then .
    MOTtwo seconds then .
    MOTbecause you haven't eaten much .
  7. eng_british_Manchester_I/anne14b.cha, line 1709 · Anne, 2;2.12
    CHIyou like one again ?
    INVno .
    INV*INV: I'm alright thank you .
    CHIwould you like one ?
    MOTI'll have a bit of that one .

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_I3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne14b.chaAnne 2;2.122,043773.43

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. alright7 · 100.0%