Grammatical error correction in non-native English
Z Yuan - 2017 - cl.cam.ac.uk
Grammatical error correction (GEC) is the task of automatically correcting grammatical errors
in written text. Previous research has mainly focussed on individual error types and current …
in written text. Previous research has mainly focussed on individual error types and current …
[PDF][PDF] Candidate re-ranking for SMT-based grammatical error correction
We develop a supervised ranking model to rerank candidates generated from an SMT-
based grammatical error correction (GEC) system. A range of novel features with respect to …
based grammatical error correction (GEC) system. A range of novel features with respect to …
Improving Arabic neural machine translation via n-best list re-ranking
Even though the rise of the neural machine translation (NMT) paradigm has brought a great
deal of improvement to the field of machine translation (MT), the current translation results …
deal of improvement to the field of machine translation (MT), the current translation results …
Artificial intelligence contribution to translation industry: looking back and forward
MQ Shormani - arxiv preprint arxiv:2411.19855, 2024 - arxiv.org
This study provides a comprehensive analysis of artificial intelligence (AI) contribution to
translation industry (ACTI) research, synthesizing it over forty-one years from 1980-2024 …
translation industry (ACTI) research, synthesizing it over forty-one years from 1980-2024 …
Improving statistical machine translation using syntax-based learning-to-rank system
Word reordering is one of the fundamental problems of machine translation. It is an
important factor in the quality and efficiency of machine translations. Tackling the reordering …
important factor in the quality and efficiency of machine translations. Tackling the reordering …
A neural reordering model based on phrasal dependency tree for statistical machine translation
Abstract Machine translation is an important field of research and development. Word
reordering is one of the main problems in machine translation. It is an important factor of …
reordering is one of the main problems in machine translation. It is an important factor of …
[PDF][PDF] The correlation of machine translation evaluation metrics with human judgement on Persian language
Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine
Translation (MT) engines as they are developed based on frequent evaluation. Although …
Translation (MT) engines as they are developed based on frequent evaluation. Although …
A preordering model based on phrasal dependency tree
Intelligent machine translation (MT) is becoming an important field of research and
development as the need for translations grows. Currently, the word reordering problem is …
development as the need for translations grows. Currently, the word reordering problem is …
Quantum Particle Swarm Optimization Algorithm Based on Dynamic Adaptive Search Strategy
J Huo, X Ma - TELKOMNIKA (Telecommunication Computing …, 2014 - telkomnika.uad.ac.id
The particle swarm system simulates the evolution of the social mechanism. In this system,
the individual particle representing the potential solution flies in the multidimensional space …
the individual particle representing the potential solution flies in the multidimensional space …
English Language Statistical Machine Translation Oriented Classification Algorithm
J Yan, W Chao - … on Intelligent Transportation, Big Data and …, 2015 - ieeexplore.ieee.org
In this paper, we study on the problem of statistical machine translation (SMT) for English
language, and the main innovation is that we introduce the SVM classifier to solve this …
language, and the main innovation is that we introduce the SVM classifier to solve this …