PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (622 utterances, 1,511 words searched).

  1. hottara akan ne . %mov:"21105"_1033970_1034652 FAT · japanese_ishii/21105.cha, line 387 · Jun 2;11
  2. gomen ne . %mov:"21105"_1399088_1401187 FAT · japanese_ishii/21105.cha, line 534 · Jun 2;11
  3. sore saki okana akan ne . %mov:"21105"_2247585_2249705 FAT · japanese_ishii/21105.cha, line 781 · Jun 2;11
  4. ne ? %mov:"21105"_2480820_2482174 FAT · japanese_ishii/21105.cha, line 877 · Jun 2;11
  5. un, soo ya ne ? %mov:"21105"_3104692_3106013 FAT · japanese_ishii/21105.cha, line 1189 · Jun 2;11
  1. FATun . %mov:"21105"_1031531_1032094
    CHIhottara [: hoottara] akan ne . %mov:"21105"_1032094_1033970
    FAT*FAT: hottara akan ne . %mov:"21105"_1033970_1034652
    FATsoo yaa . %mov:"21105"_1034652_1035341
    FATyoo shitten nee . %mov:"21105"_1035341_1036607
  2. FATiran no kaa . %mov:"21105"_1395635_1396770
    FATdoo shiyoo . %mov:"21105"_1396770_1399088
    FAT*FAT: gomen ne . %mov:"21105"_1399088_1401187
    FATsonna okorande [: okoranakutemo] ee [: ii] deshoo . %mov:"21105"_1401187_1412060
    CHIjidoosha kowasuu ! %mov:"21105"_1412060_1418754
  3. FAThai, oitekudasai . %mov:"21105"_2244911_2246527
    CHIakan . %mov:"21105"_2246527_2247585
    FAT*FAT: sore saki okana akan ne . %mov:"21105"_2247585_2249705
    CHIshuu [?] kore saki . %mov:"21105"_2249705_2251957
    FAThai . %mov:"21105"_2251957_2253844
  4. CHIun . %mov:"21105"_2475248_2475985
    FATdakara # jidoosha sonna toko barabara@o shitokanai de koko iretokana dame ya . %mov:"21105"_2475985_2480820
    FAT*FAT: ne ? %mov:"21105"_2480820_2482174
    CHIgohon miyo . %mov:"21105"_2482174_2483375
    CHIxxx . %mov:"21105"_2483375_2499927
  5. CHIkoo natte +... %mov:"21105"_3102864_3103465
    CHIkoo yatta . %mov:"21105"_3103465_3104692
    FAT*FAT: un, soo ya ne ? %mov:"21105"_3104692_3106013
    CHIkoo yaro ? %mov:"21105"_3106013_3107225
    FATun . %mov:"21105"_3107225_3107612

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_ishii3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21105.chaJun 2;11.051,511553.31

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. ne5 · 100.0%