Automated Essay Grading System



{% if essay %}

Predictions

Model One Predictions

Predictions done using BERT and CELA Dataset

    {% if grammar_score is not none %}
  • Grammar Score: {{ grammar_score }}/8 : Calculates the grammar quality of the essay.
  • {% endif %} {% if lexical_score is not none %}
  • Lexical Score: {{ lexical_score }}/8 : Evaluates the richness and appropriateness of vocabulary used.
  • {% endif %} {% if global_organization_score is not none %}
  • Global Organization Score: {{ global_organization_score }}/8 : Assesses the overall structure and coherence of the essay.
  • {% endif %} {% if local_organization_score is not none %}
  • Local Organization Score: {{ local_organization_score }}/8 : Analyzes the flow and cohesion within paragraphs and sentences.
  • {% endif %} {% if supporting_ideas_score is not none %}
  • Supporting Ideas Score: {{ supporting_ideas_score }}/8 : Rates the effectiveness of supporting arguments or evidence.
  • {% endif %} {% if holistic_score is not none %}
  • Holistic Score: {{ holistic_score }}/5 : Provides an overall assessment of the essay's quality considering various linguistic aspects.
  • {% endif %}

Model Two Predictions

Predictions done using BERT, self-made programmed functions, and Self-made Dataset using CELA

    {% if grammar_score2 is not none %}
  • Grammar Score: {{ grammar_score2 }}/10 : Analyzes the grammatical correctness of the essay, using a self-programmed model.
  • {% endif %} {% if spelling_score is not none %}
  • Spelling Score: {{ spelling_score }}/10 : Rates the accuracy of spelling throughout the essay, using a self-programmed model.
  • {% endif %} {% if word_diversity_score is not none %}
  • Word Diversity Score: {{ word_diversity_score }}/10 : Evaluates the diversity and richness of vocabulary usage, using a self-programmed model.
  • {% endif %} {% if essay_quality_score is not none %}
  • Essay Quality Score: {{ essay_quality_score }}/10 : Provides an overall quality score based on various linguistic features and models, using the BERT model.
  • {% endif %}
{% endif %}