PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (671 utterances, 1,577 words searched).

  1. kore mo keeki yan . %mov:"20628"_98800_100089 FAT · japanese_ishii/20628.cha, line 83 · Jun 2;06
  2. Jun mo basu notta ? %mov:"20628"_911712_918488 FAT · japanese_ishii/20628.cha, line 492 · Jun 2;06
  3. konnna te mo koo osaetetara akan yan . %mov:"20628"_2288990_2291117 FAT · japanese_ishii/20628.cha, line 970 · Jun 2;06
  4. jidoosha mo katazukeru ? %mov:"20628"_3205112_3206369 FAT · japanese_ishii/20628.cha, line 1311 · Jun 2;06
  5. sore mo katazukeru ? %mov:"20628"_3213110_3216550 FAT · japanese_ishii/20628.cha, line 1316 · Jun 2;06
  1. FATa, kore ga keeki ka . %mov:"20628"_94959_96194
    CHIkore to chau yan . %mov:"20628"_96194_98800
    FAT*FAT: kore mo keeki yan . %mov:"20628"_98800_100089
    CHIkore chau . %mov:"20628"_100089_101198
    CHIkeeki wa # hahana [: ohana] . %mov:"20628"_101198_103645
  2. CHImata basu . %mov:"20628"_909310_910392
    FATmata basu ya na . %mov:"20628"_910392_911712
    FAT*FAT: Jun mo basu notta ? %mov:"20628"_911712_918488
    CHIbasu notta yo . %mov:"20628"_918488_919875
    FATdoko itta ,, basu notte ? %mov:"20628"_919875_921521
  3. CHIbiiru o . %mov:"20628"_2284548_2285626
    CHIchin@o ! %mov:"20628"_2285626_2288990
    FAT*FAT: konnna te mo koo osaetetara akan yan . %mov:"20628"_2288990_2291117
    FAThai . %mov:"20628"_2291117_2292927
    FATaa kata [: katai] . %mov:"20628"_2292927_2295220
  4. FATkatazukeyoo tto . %mov:"20628"_3203056_3204337
    FATun, honto . %mov:"20628"_3204337_3205112
    FAT*FAT: jidoosha mo katazukeru ? %mov:"20628"_3205112_3206369
    FAThai . %mov:"20628"_3206369_3209086
    FATsorekara [>] ? %mov:"20628"_3209086_3212118
  5. CHIwanwan@o no [<] +... %mov:"20628"_3209086_3212118
    FATun . %mov:"20628"_3212118_3213110
    FAT*FAT: sore mo katazukeru ? %mov:"20628"_3213110_3216550
    CHIkore Otoosan no . %mov:"20628"_3216550_3219467
    FATun . %mov:"20628"_3219467_3220286

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_ishii3.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20628.chaJun 2;6.281,577553.17

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. mo5 · 100.0%