PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

5.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (576 utterances, 1,342 words searched).

  1. kono booru shitekudasai,, sono booru abunai kara, kono booru . %mov:"20805"_1533656_1538675 FAT · japanese_ishii/20805.cha, line 712 · Jun 2;08
  2. kore abunai kara katazuketoku wa ne . %mov:"20805"_1566917_1569029 FAT · japanese_ishii/20805.cha, line 726 · Jun 2;08
  3. abunai . %mov:"20805"_1680921_1684216 FAT · japanese_ishii/20805.cha, line 747 · Jun 2;08
  4. abunai kara naa . %mov:"20805"_1738150_1751381 FAT · japanese_ishii/20805.cha, line 772 · Jun 2;08
  5. abunai [/] abunai ! %mov:"20805"_2236591_2242019 FAT · japanese_ishii/20805.cha, line 942 · Jun 2;08
  6. abunai [/] abunai ! %mov:"20805"_2236591_2242019 FAT · japanese_ishii/20805.cha, line 942 · Jun 2;08
  7. abunai yo . %mov:"20805"_2652577_2653687 FAT · japanese_ishii/20805.cha, line 1091 · Jun 2;08
  8. abunai ! %mov:"20805"_3617108_3638296 FAT · japanese_ishii/20805.cha, line 1317 · Jun 2;08
  1. CHIyoshi . %mov:"20805"_1523368_1525687
    CHIxxx . %mov:"20805"_1525687_1533656
    FAT*FAT: kono booru shitekudasai,, sono booru abunai kara, kono booru . %mov:"20805"_1533656_1538675
    CHIchau yan . %mov:"20805"_1538675_1539645
    FATaa ! %mov:"20805"_1539645_1550388
  2. FATsubetta . %mov:"20805"_1563030_1563572
    FATJun subetta ka . %mov:"20805"_1563572_1566917
    FAT*FAT: kore abunai kara katazuketoku wa ne . %mov:"20805"_1566917_1569029
    CHIiku yo . %mov:"20805"_1569029_1571276
    FAThai . %mov:"20805"_1571276_1571806
  3. FATe ? %mov:"20805"_1678113_1679449
    FATnani tottekita n ? %mov:"20805"_1679449_1680921
    FAT*FAT: abunai . %mov:"20805"_1680921_1684216
    FATshita orite shinasai . %mov:"20805"_1684216_1685151
    MOTsore chissai ne . %mov:"20805"_1685151_1686631
  4. CHIxxx . %mov:"20805"_1734518_1737510
    CHIkatte [: kashite] . %mov:"20805"_1737510_1738150
    FAT*FAT: abunai kara naa . %mov:"20805"_1738150_1751381
    FATkatazuketoku wa naa . %mov:"20805"_1751381_1752645
    FATJun ga mata subette kokeru yaro ? %mov:"20805"_1752645_1754451
  5. CHIyattsukero . %mov:"20805"_2233824_2235255
    CHIbaan@o ! %mov:"20805"_2235255_2236591
    FAT*FAT: abunai [/] abunai ! %mov:"20805"_2236591_2242019
    CHIpiiban@o ! %mov:"20805"_2242019_2244313
    CHImishairu yattsukero . %mov:"20805"_2244313_2250314
  6. CHIatta ! %mov:"20805"_2639417_2650652
    CHIxxx . %mov:"20805"_2650652_2652577
    FAT*FAT: abunai yo . %mov:"20805"_2652577_2653687
    CHIxxx . %mov:"20805"_2653687_2670424
    CHIauto ! %mov:"20805"_2670424_2672978
  7. CHIkore mo . %mov:"20805"_3605300_3610673
    CHIpepepepepepepe@o .
    FAT*FAT: abunai ! %mov:"20805"_3617108_3638296
    CHIshindonaii [/] shindonaii [/] shindonaii [/] shindonaii naoo ! %mov:"20805"_3638296_3648394
    FATe ? %mov:"20805"_3648394_3648394

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_ishii5.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20805.chaJun 2;8.051,342785.96

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. abunai8 · 100.0%