Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Grammatical Error Correction Considering Multi-word Expressions

Multi-word expressions (MWEs) have been recognized as important linguistic information and much research has been conducted especially on their extraction and interpretation. On the other hand, they have hardly been used in real application areas. While those who are learning English as a second language (ESL) use MWEs in their writings just like native speakers, MWEs haven’t been taken into co...

متن کامل

Automated Grammatical Error Detection for Language Learners, Second Edition

Research in automated grammatical error detection and correction has gained considerable momentum in the past few years. Although much progress has been made in this area, numerous challenges and opportunities exist for further research. For NLP researchers and students who are considering following or pursuing work in this area and for English language teaching practitioners and researchers wh...

متن کامل

Automated Grammatical Error Correction for Language Learners

A fast growing area in Natural Language Processing is the use of automated tools for identifying and correcting grammatical errors made by language learners. This growth, in part, has been fueled by the needs of a large number of people in the world who are learning and using a second or foreign language. For example, it is estimated that there are currently over one billion people who are non-...

متن کامل

Grammatical Error Correction of English as Foreign Language Learners

This study aimed to discover the insight of error correction by implementing two correction systems on three Iranian university students. The three students were invited to write four in-class essays throughout the semester, in which their verb errors and individual-selected errors were corrected using the Code Correction System and the Individual Correction System. At the end of the study, the...

متن کامل

Minimizing Output Error in Multi-Layer Perceptrons

I. Abstract It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at infinity can learn N distinct training sets with zero error. Previous work has shown that the input weights and biases for such a MLP can be chosen in an effectively arbitrary manner; however, this work makes th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computación y Sistemas

سال: 2019

ISSN: 2007-9737,1405-5546

DOI: 10.13053/cys-23-3-3271