PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (762 utterances, 2,158 words searched).

  1. guu wa dore ? %mov:"21125"_75969_77306 FAT · japanese_ishii/21125.cha, line 62 · Jun 2;11
  2. guu wa ? %mov:"21125"_79043_79567 FAT · japanese_ishii/21125.cha, line 65 · Jun 2;11
  3. guu [<] . %mov:"21125"_128047_129227 FAT · japanese_ishii/21125.cha, line 105 · Jun 2;11
  4. guu . %mov:"21125"_770375_772334 FAT · japanese_ishii/21125.cha, line 417 · Jun 2;11
  5. guu yan . %mov:"21125"_796528_797103 FAT · japanese_ishii/21125.cha, line 430 · Jun 2;11
  1. japanese_ishii/21125.cha, line 62 · Jun, 2;11.25
    FATa, honto ya . %mov:"21125"_74203_75385
    CHIchoki . %mov:"21125"_75385_75969
    FAT*FAT: guu wa dore ? %mov:"21125"_75969_77306
    CHIpaa . %mov:"21125"_77306_77930
    CHIun ? %mov:"21125"_77930_79043
  2. japanese_ishii/21125.cha, line 65 · Jun, 2;11.25
    CHIpaa . %mov:"21125"_77306_77930
    CHIun ? %mov:"21125"_77930_79043
    FAT*FAT: guu wa ? %mov:"21125"_79043_79567
    CHIguu . %mov:"21125"_79567_80835
    FATJunkun choki shitegoran . %mov:"21125"_80835_82155
  3. japanese_ishii/21125.cha, line 105 · Jun, 2;11.25
    FAThasami ya naa ? %mov:"21125"_126651_126651
    CHIguu # paa [>] . %mov:"21125"_128047_129227
    FAT*FAT: guu [<] . %mov:"21125"_128047_129227
    FATsorekara ? %mov:"21125"_129227_132047
    CHIetto naa # guu . %mov:"21125"_132047_135078
  4. japanese_ishii/21125.cha, line 417 · Jun, 2;11.25
    FATpaa shite . %mov:"21125"_767106_769321
    FATpaa . %mov:"21125"_769321_770375
    FAT*FAT: guu . %mov:"21125"_770375_772334
    FATchoki . %mov:"21125"_772334_773970
    CHIsoo ya . %mov:"21125"_773970_777363
  5. japanese_ishii/21125.cha, line 430 · Jun, 2;11.25
    CHIO # Otoosan guu . %mov:"21125"_785960_789078
    CHIxxx # shitara akan noo . %mov:"21125"_789078_796528
    FAT*FAT: guu yan . %mov:"21125"_796528_797103
    CHIpaa . %mov:"21125"_797103_799787
    CHIchau . %mov:"21125"_799787_803031

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_ishii2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21125.chaJun 2;11.252,158552.32

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. guu5 · 100.0%