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_british_Manchester_I/anne33b.cha change

Searching only eng_british_Manchester_I/anne33b.cha. Search all transcripts instead

5 matches in 5 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (458 utterances, 1,837 words searched).

Concordance Utterances Distribution Matched forms

she has ,, hasn't she ? MOT · eng_british_Manchester_I/anne33b.cha, line 160 · Anne 2;09
the telly's fallen over ,, hasn't it ? MOT · eng_british_Manchester_I/anne33b.cha, line 940 · Anne 2;09
he has ,, hasn't he ? MOT · eng_british_Manchester_I/anne33b.cha, line 1049 · Anne 2;09
he's come alive ,, hasn't he ? MOT · eng_british_Manchester_I/anne33b.cha, line 1341 · Anne 2;09
got a pineapple nose ,, hasn't he ? MOT · eng_british_Manchester_I/anne33b.cha, line 1354 · Anne 2;09

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

per 1,000 words

0123

2;082;092;102;11

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_british_Manchester_I/anne33b.cha	Anne	2;9.08	1,837	5	5	2.72

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