A survey of evaluation metrics used for NLG systems
In the last few years, a large number of automatic evaluation metrics have been proposed for
evaluating Natural Language Generation (NLG) systems. The rapid development and …
evaluating Natural Language Generation (NLG) systems. The rapid development and …
Natural language processing: state of the art, current trends and challenges
Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …
analyzing human language computationally. It has spread its applications in various fields …
A review of hybrid and ensemble in deep learning for natural language processing
This review presents a comprehensive exploration of hybrid and ensemble deep learning
models within Natural Language Processing (NLP), shedding light on their transformative …
models within Natural Language Processing (NLP), shedding light on their transformative …
[PDF][PDF] Minimum error rate training in statistical machine translation
FJ Och - Proceedings of the 41st annual meeting of the …, 2003 - aclanthology.org
Often, the training procedure for statistical machine translation models is based on maximum
likelihood or related criteria. A general problem of this approach is that there is only a loose …
likelihood or related criteria. A general problem of this approach is that there is only a loose …
BLEU might be guilty but references are not innocent
The quality of automatic metrics for machine translation has been increasingly called into
question, especially for high-quality systems. This paper demonstrates that, while choice of …
question, especially for high-quality systems. This paper demonstrates that, while choice of …
Approaches to human and machine translation quality assessment
S Castilho, S Doherty, F Gaspari… - … quality assessment: From …, 2018 - Springer
In both research and practice, translation quality assessment is a complex task involving a
range of linguistic and extra-linguistic factors. This chapter provides a critical overview of the …
range of linguistic and extra-linguistic factors. This chapter provides a critical overview of the …
[PDF][PDF] Discriminative training and maximum entropy models for statistical machine translation
We present a framework for statistical machine translation of natural languages based on
direct maximum entropy models, which contains the widely used source-channel approach …
direct maximum entropy models, which contains the widely used source-channel approach …
The alignment template approach to statistical machine translation
A phrase-based statistical machine translation approach—the alignment template approach—
is described. This translation approach allows for general many-to-many relations between …
is described. This translation approach allows for general many-to-many relations between …
Machine translation from text to sign language: a systematic review
NK Kahlon, W Singh - Universal Access in the Information Society, 2023 - Springer
An equal opportunity for all is the basic right of every human being. The deaf society of the
world needs to have access to all the information just like hearing people do. For this to …
world needs to have access to all the information just like hearing people do. For this to …
[PDF][PDF] Statistical machine translation
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