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: eng_USA_Valian/13b.cha change

Searching only eng_USA_Valian/13b.cha. Search all transcripts instead

6 matches in 6 utterances

4.41 per 1,000 words of the child (CHI), in 1 of 1 transcripts (506 utterances, 1,360 words searched).

Concordance Utterances Distribution Matched forms

[- to inv] what were you doing ? CHI · eng_USA_Valian/13b.cha, line 861 · 13B 2;04
when were you coming ? CHI · eng_USA_Valian/13b.cha, line 865 · 13B 2;04
when were you coming, Investigator ? CHI · eng_USA_Valian/13b.cha, line 867 · 13B 2;04
where were you ? CHI · eng_USA_Valian/13b.cha, line 873 · 13B 2;04
where were you ? CHI · eng_USA_Valian/13b.cha, line 877 · 13B 2;04
where were you, Investigator ? CHI · eng_USA_Valian/13b.cha, line 881 · 13B 2;04

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

per 1,000 words

012345

2;032;042;052;06

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
eng_USA_Valian/13b.cha	13B	2;4.08	1,360	6	6	4.41

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