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Slight changes to services description
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@ -52,9 +52,10 @@ In this section, we will describe the different services nopaque has to offer.
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The <a href="{{ url_for('services.tesseract_ocr_pipeline') }}">Tesseract OCR Pipeline</a>
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The <a href="{{ url_for('services.tesseract_ocr_pipeline') }}">Tesseract OCR Pipeline</a>
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converts image data - like photos and scans - into text data, making them machine-readable.
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converts image data - like photos and scans - into text data, making them machine-readable.
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This step enables you to proceed with the computational analysis of your documents.
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This step enables you to proceed with the computational analysis of your documents.
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To use this service, use the job form to select the file you want to convert, choose
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To use this service, use the job form to select the file you want to convert into text data.
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the desired language model and service version, enter the title and description, and
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Then, choose the language model and service version you would like to use. Enter a title and description for your file and then
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submit your job. The results can be found and downloaded below, under "Inputs."
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submit your job. Once the job is finished, the results can be found and downloaded further below on the page, under
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the section labeled "Inputs."
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</p>
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</p>
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@ -67,9 +68,9 @@ try using Tesseract OCR, though the results will likely be poor.</p>
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<p>The <a href="{{ url_for('services.spacy_nlp_pipeline') }}">SpaCy NLP Pipeline</a> extracts
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<p>The <a href="{{ url_for('services.spacy_nlp_pipeline') }}">SpaCy NLP Pipeline</a> extracts
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information from plain text files (.txt format) via computational linguistic data processing
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information from plain text files (.txt format) via computational linguistic data processing
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(tokenization, lemmatization, part-of-speech tagging and named-entity recognition).
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(tokenization, lemmatization, part-of-speech tagging and named-entity recognition).
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To use this service, select the corresponding .txt file, the language model, and the
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To use this service, select the .txt file that you want to extract this information from.
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version you want to use. When the job is finished, find and download the files in
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Then select the language model and the version you want to use. Once the job is finished, you can find and download the files in
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<b>.json</b> and <b>.vrt</b> format under “Results.”</p>
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<b>.json</b> and <b>.vrt</b> format under the section labeled “Results.”</p>
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<h4>Corpus Analysis</h4>
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<h4>Corpus Analysis</h4>
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<p>
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<p>
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