mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-11-15 01:05:42 +00:00
113 lines
4.4 KiB
Django/Jinja
113 lines
4.4 KiB
Django/Jinja
{% extends "nopaque.html.j2" %}
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{% set main_class = 'nlp-color lighten' %}
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{% block page_content %}
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<div class="col s12 m3 push-m9">
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<div class="center-align">
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<p> </p>
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<p> </p>
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<a class="btn-floating btn-large nlp-color darken waves-effect waves-light" style="transform: scale(2);">
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<i class="material-icons service" data-service="nlp"></i>
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</a>
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</div>
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</div>
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<div class="col s12 m9 pull-m3">
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<div class="card" style="border-top: 10px solid {{ nlp_color_darken }};">
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<div class="card-content">
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<div class="row">
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<div class="col s12 m6">
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<div class="card-panel z-depth-0">
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<span class="card-title"><i class="left material-icons">layers</i>Tokenization</span>
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<p>Your text is split up into sentences and words, so called tokens, which can then be analyzed.</p>
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</div>
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</div>
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<div class="col s12 m6">
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<div class="card-panel z-depth-0">
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<span class="card-title"><i class="left material-icons">layers</i>Lemmatization</span>
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<p>All inflected forms of a word are grouped together so that it can be analyzed as a single item.</p>
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</div>
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</div>
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<div class="col s12 m6">
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<div class="card-panel z-depth-0">
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<span class="card-title"><i class="left material-icons">layers</i>Part-of-speech Tagging</span>
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<p>In accordance with its definition and context, each word is marked up as corresponding to a particular part of speech.</p>
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</div>
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</div>
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<div class="col s12 m6">
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<div class="card-panel z-depth-0">
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<span class="card-title"><i class="left material-icons">layers</i>Named-Entity Recognition</span>
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<p>Named entities are located and classified into specific categories like persons or locations.</p>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="col s12">
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<h3>Submit a job</h3>
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<div class="card">
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<form class="nopaque-submit-form" data-progress-modal="progress-modal">
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<div class="card-content">
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{{ add_job_form.hidden_tag() }}
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<div class="row">
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<div class="col s12 l4">
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{{ M.render_field(add_job_form.title, data_length='32', material_icon='title') }}
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</div>
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<div class="col s12 l8">
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{{ M.render_field(add_job_form.description, data_length='255', material_icon='description') }}
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</div>
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<div class="col s12 l5">
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{{ M.render_field(add_job_form.files, accept='text/plain', color=nlp_color_darken, placeholder='Choose your .txt files') }}
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</div>
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<div class="col s12 l4">
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{{ M.render_field(add_job_form.language, material_icon='language') }}
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</div>
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<div class="col s12 l3">
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{{ M.render_field(add_job_form.version, material_icon='apps') }}
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</div>
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<div class="col s12">
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<span class="card-title">Preprocessing</span>
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</div>
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<div class="col s9">
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<p>{{ add_job_form.check_encoding.label.text }}</p>
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<p class="light">If the input files are not created with the nopaque OCR service or you do not know if your text files are UTF-8 encoded, check this switch. We will try to automatically determine the right encoding for your texts to process them.</p>
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</div>
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<div class="col s3 right-align">
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<div class="switch">
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<label>
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{{ add_job_form.check_encoding() }}
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<span class="lever"></span>
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</label>
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</div>
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</div>
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<!--
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Seperate each setting with the following
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<div class="col s12"><p> </p></div>
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<div class="col s12 divider"></div>
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<div class="col s12"><p> </p></div>
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-->
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</div>
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</div>
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<div class="card-action right-align">
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{{ M.render_field(add_job_form.submit, color=nlp_color_darken, material_icon='send') }}
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</div>
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</form>
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</div>
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</div>
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<div id="progress-modal" class="modal">
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<div class="modal-content">
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<h4><i class="material-icons prefix">file_upload</i> Uploading files...</h4>
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<div class="progress">
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<div class="determinate" style="width: 0%"></div>
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</div>
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</div>
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<div class="modal-footer">
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<a href="#!" class="modal-close waves-effect waves-light btn red abort-request">Cancel</a>
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</div>
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</div>
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{% endblock %}
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