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Grammatical error correction: A survey of the state of the art
Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …
correcting errors in text. The task not only includes the correction of grammatical errors, such …
Data cleaning and machine learning: a systematic literature review
Abstract Machine Learning (ML) is integrated into a growing number of systems for various
applications. Because the performance of an ML model is highly dependent on the quality of …
applications. Because the performance of an ML model is highly dependent on the quality of …
TemplateGEC: Improving grammatical error correction with detection template
Grammatical error correction (GEC) can be divided into sequence-to-edit (Seq2Edit) and
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …
English grammar error detection using recurrent neural networks
Z He - Scientific Programming, 2021 - Wiley Online Library
Automatic marking of English compositions is a rapidly develo** field in recent years. It
has gradually replaced teachers' manual reading and become an important tool to relieve …
has gradually replaced teachers' manual reading and become an important tool to relieve …
Back to grammar: Using grammatical error correction to automatically assess L2 speaking proficiency
In an interconnected world where English has become the lingua franca of culture,
entertainment, business, and academia, the growing demand for learning English as a …
entertainment, business, and academia, the growing demand for learning English as a …
Psycho-acoustics inspired automatic speech recognition
Understanding the human spoken language recognition process is still a far scientific goal.
Nowadays, commercial automatic speech recognisers (ASRs) achieve high performance at …
Nowadays, commercial automatic speech recognisers (ASRs) achieve high performance at …
Etlt 2021: Shared task on automatic speech recognition for non-native children's speech
R Gretter, M Matassoni, D Falavigna, A Misra… - 2021 - repository.cam.ac.uk
The paper presents the Second ASR Challenge for Non-native Children's Speech proposed
as a Special Session at Interspeech 2021, following the successful first challenge at …
as a Special Session at Interspeech 2021, following the successful first challenge at …
Towards end-to-end spoken grammatical error correction
Grammatical feedback is crucial for L2 learners, teachers, and testers. Spoken grammatical
error correction (GEC) aims to supply feedback to L2 learners on their use of grammar when …
error correction (GEC) aims to supply feedback to L2 learners on their use of grammar when …
Impact of ASR performance on spoken grammatical error detection
Computer assisted language learning (CALL) systems aidlearners to monitor their progress
by providing scoring andfeedback on language assessment tasks. Free speaking tests al …
by providing scoring andfeedback on language assessment tasks. Free speaking tests al …
Overview of the interspeech tlt2020 shared task onasr for non-native children's speech
We present an overview of the ASR challenge for non-native children's speech organized for
a special session at Interspeech2020. The data for the challenge was obtained in the …
a special session at Interspeech2020. The data for the challenge was obtained in the …