PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: bilingual_eng_Genesee/oli13b11m.cha change

Searching only bilingual_eng_Genesee/oli13b11m.cha. Search all transcripts instead

5 matches in 4 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,476 words searched).

Concordance Utterances Distribution Matched forms

three horses ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1094 · Olivier 1;11
do we have three horses ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1105 · Olivier 1;11
one horse # # two horses # # three horses ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1107 · Olivier 1;11
one horse # # two horses # # three horses ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1107 · Olivier 1;11
horses . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1112 · Olivier 1;11

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

01234

1;101;112;002;01

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
bilingual_eng_Genesee/oli13b11m.cha	Olivier	1;11.15	1,476	4	5	3.39

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.