PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. Maa [//] Maakun mo takusan jidoosha motten no,, ouchi ni . %mov:"30203"_55729_69057 FAT · japanese_ishii/30203.cha, line 36 · Jun 3;02
  2. jidoosha [<] ?%mov:"30203"_442690_447024 FAT · japanese_ishii/30203.cha, line 140 · Jun 3;02
  3. kore # jidoosha tottara ee ne,, kore . %mov:"30203"_2643284_2645103 MAA · japanese_ishii/30203.cha, line 879 · Jun 3;02
  1. FATnna [: soredewa] Maakun no wa ? %mov:"30203"_53061_54057
    CHInna, kore . %mov:"30203"_54057_55729
    FAT*FAT: Maa [//] Maakun mo takusan jidoosha motten no,, ouchi ni . %mov:"30203"_55729_69057
    MAAun . %mov:"30203"_69057_71064
    FATMaakun ga [>] +... %mov:"30203"_70253_74521
  2. FAThai, nani de [/-] nani shite asobu no ? %mov:"30203"_437068_442690
    CHIkondo wa <tsumiki> [>] de asobu . %mov:"30203"_442690_447024
    FAT*FAT: jidoosha [<] ?%mov:"30203"_442690_447024
    CHItsumiki de asobo . %mov:"30203"_447024_453489
    MAAo ! %mov:"30203"_453489_454450
  3. FATun . %mov:"30203"_2639976_2640701
    CHIkore nan ya ? %mov:"30203"_2640701_2643284
    MAA*MAA: kore # jidoosha tottara ee ne,, kore . %mov:"30203"_2643284_2645103
    MAAkore o shuu@o te, na ? %mov:"30203"_2645103_2647482
    FAThai, sore tsukete, Junkun . %mov:"30203"_2647482_2648736

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. Jun japanese_ishii2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,150332.61

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. jidoosha3 · 100.0%