THE MACHINE-READABLE TEXT: METHODS OF CONVERSION

Although the Workshop did not include a systematic examination of the

methods for converting texts from paper (or from facsimile images) into

machine-readable form, nevertheless, various speakers touched upon this

matter. For example, WEIBEL reported that OCLC has experimented with a

merging of multiple optical character recognition systems that will

reduce errors from an unacceptable rate of 5 characters out of every

l,000 to an unacceptable rate of 2 characters out of every l,000.

Pamela ANDRE presented an overview of NAL's Text Digitization Program and

Judith ZIDAR discussed the technical details. ZIDAR explained how NAL

purchased hardware and software capable of performing optical character

recognition (OCR) and text conversion and used its own staff to convert

texts. The process, ZIDAR said, required extensive editing and project

staff found themselves considering alternatives, including rekeying

and/or creating abstracts or summaries of texts. NAL reckoned costs at

$7 per page. By way of contrast, Ricky ERWAY explained that American

Memory had decided from the start to contract out conversion to external

service bureaus. The criteria used to select these contractors were cost

and quality of results, as opposed to methods of conversion. ERWAY noted

that historical documents or books often do not lend themselves to OCR.

Bound materials represent a special problem. In her experience, quality

control--inspecting incoming materials, counting errors in samples--posed

the most time-consuming aspect of contracting out conversion. ERWAY

reckoned American Memory's costs at $4 per page, but cautioned that fewer

cost-elements had been included than in NAL's figure.

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