PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (770 utterances, 1,984 words searched).

  1. tsuiteru na,, akai no ga [<] . %mov:"20901"_909103_910848 FAT · japanese_ishii/20901.cha, line 494 · Jun 2;09
  2. tsuiteru yan . %mov:"20901"_1122849_1123693 FAT · japanese_ishii/20901.cha, line 621 · Jun 2;09
  3. akai no tsuiteru ka ? %mov:"20901"_1299369_1300346 FAT · japanese_ishii/20901.cha, line 719 · Jun 2;09
  4. tsuiteru ka,, hoka no,, waipaa ? %mov:"20901"_1452776_1454974 FAT · japanese_ishii/20901.cha, line 830 · Jun 2;09
  5. tsuiteru ka ? %mov:"20901"_1459629_1460464 FAT · japanese_ishii/20901.cha, line 833 · Jun 2;09
  6. tsuiteru wa . %mov:"20901"_1464471_1465034 FAT · japanese_ishii/20901.cha, line 837 · Jun 2;09
  7. waipaa tsuiteru nee . %mov:"20901"_1511019_1512753 FAT · japanese_ishii/20901.cha, line 869 · Jun 2;09
  8. kore waipaa tsuiteru ka ? %mov:"20901"_1704395_1714264 FAT · japanese_ishii/20901.cha, line 983 · Jun 2;09
  9. tsuiteru ka ? %mov:"20901"_1718037_1718708 FAT · japanese_ishii/20901.cha, line 986 · Jun 2;09
  1. CHIa, koko akai . %mov:"20901"_907806_909103
    CHItsuiteru,, akai [>] . %mov:"20901"_909103_910848
    FAT*FAT: tsuiteru na,, akai no ga [<] . %mov:"20901"_909103_910848
    CHIun . %mov:"20901"_910848_912134
    CHIkore nan daro,, kore wa . %mov:"20901"_912134_912134
  2. FATun . %mov:"20901"_1121212_1121722
    CHIkore tsuiteru yaro . %mov:"20901"_1121722_1122849
    FAT*FAT: tsuiteru yan . %mov:"20901"_1122849_1123693
    CHIaku yan, hora . %mov:"20901"_1123693_1125885
    FATun . %mov:"20901"_1125885_1126395
  3. CHIakai tsuitaaru, hora . %mov:"20901"_1295786_1298515
    FATaa, honto . %mov:"20901"_1298515_1299369
    FAT*FAT: akai no tsuiteru ka ? %mov:"20901"_1299369_1300346
    CHIa, akai tsuitaaru,, kore mo . %mov:"20901"_1300346_1310512
    FATdoko ni . %mov:"20901"_1310512_1311002
  4. FATnaa ? %mov:"20901"_1449704_1450263
    CHIkore tsuiten na ? %mov:"20901"_1450263_1452776
    FAT*FAT: tsuiteru ka,, hoka no,, waipaa ? %mov:"20901"_1452776_1454974
    FATtsuitenai naa ? %mov:"20901"_1454974_1457688
    CHIhoka no kore tsuiteru . %mov:"20901"_1457688_1459629
  5. FATtsuitenai naa ? %mov:"20901"_1454974_1457688
    CHIhoka no kore tsuiteru . %mov:"20901"_1457688_1459629
    FAT*FAT: tsuiteru ka ? %mov:"20901"_1459629_1460464
    FATdoko ni ? %mov:"20901"_1460464_1460904
    CHIhoka no kore . %mov:"20901"_1460464_1461950
  6. CHIhoka no kore . %mov:"20901"_1460464_1461950
    FATa, homma . %mov:"20901"_1461950_1461950
    FAT*FAT: tsuiteru wa . %mov:"20901"_1464471_1465034
    CHItauitenai wa,, kore . %mov:"20901"_1465034_1467162
    FATsoo ka . %mov:"20901"_1467162_1467686
  7. FATun, yoo shitten nee [>] . %mov:"20901"_1508290_1509992
    CHIwaipaa [<] . %mov:"20901"_1508290_1509992
    FAT*FAT: waipaa tsuiteru nee . %mov:"20901"_1511019_1512753
    CHIame futta toki +... %mov:"20901"_1512753_1515004
    FATun . %mov:"20901"_1515004_1515259
  8. CHIare ? %mov:"20901"_1696621_1702891
    CHIkowareta,, kore . %mov:"20901"_1702891_1704395
    FAT*FAT: kore waipaa tsuiteru ka ? %mov:"20901"_1704395_1714264
    FATtsuitehen wa . %mov:"20901"_1714264_1714993
    CHIwaipaa tsuiteru,, kore . %mov:"20901"_1714993_1718037
  9. FATtsuitehen wa . %mov:"20901"_1714264_1714993
    CHIwaipaa tsuiteru,, kore . %mov:"20901"_1714993_1718037
    FAT*FAT: tsuiteru ka ? %mov:"20901"_1718037_1718708
    CHIhora . %mov:"20901"_1718708_1719534
    CHItsuitenai . %mov:"20901"_1719534_1721060

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_ishii4.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20901.chaJun 2;9.011,984994.54

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. tsuiteru9 · 100.0%