AI Research Archives - Scribendi AI

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June 28, 2023

Detecting Errors to Improve Grammar Error Correction Models

Written by: Ankit Vadehra and Pascal Poupart 1 Introduction Grammar error correction (GEC) is an…

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Grammatical error correction (GEC) tools

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March 12, 2021

How Does the Scribendi Accelerator Compare to Other GEC Tools? An Evaluation

When compared to five leading grammatical error correction (GEC) tools, the Accelerator outperforms its peers.

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We present results from two model compression techniques: distillation and pruning.

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February 8, 2021

Distillation and Pruning for GEC Model Compression

In grammatical error correction (GEC) models, model compression techniques can improve speed but at the…

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AI Research

March 21, 2019

Grammatical Error Correction Tools: A Novel Method for Evaluation

Introduction Founded in 1997, Scribendi Inc. is an ISO 9001:2015-certified online editing and proofreading company.…

Cameron Macdonell 1

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AI Research

January 9, 2019

Creating an Order Queuing Tool: Prioritizing Orders with Machine Learning

Scribendi provides high-quality editing and proofreading for writers around the world to ensure that their…

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AI Research

January 9, 2019

Can We Use BERT as a Language Model to Assign a Score to a Sentence?

Transfer learning is a machine learning technique in which a model is trained to solve…

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AI Research

July 10, 2018

How to Train Recurrent Neural Network (RNN) Models and Serve Them in Production with TensorFlow and Flask

Scribendi has offered high-quality online editing and proofreading services for English documents since 1997. Since…

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AI Research

Detecting Errors to Improve Grammar Error Correction Models

How Does the Scribendi Accelerator Compare to Other GEC Tools? An Evaluation

Distillation and Pruning for GEC Model Compression

Grammatical Error Correction Tools: A Novel Method for Evaluation

Creating an Order Queuing Tool: Prioritizing Orders with Machine Learning

Can We Use BERT as a Language Model to Assign a Score to a Sentence?

How to Train Recurrent Neural Network (RNN) Models and Serve Them in Production with TensorFlow and Flask

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