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Showing 1-25 of 6,996 resultsfor "Index Terms":Translation Error
"Index Terms":Translation Error
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The translation quality of machine translation systems depends on the parallel corpus used for training, particularly on the quantity and quality of the corpus. However, building a high-quality and large-scale parallel corpus is complex and expensive, particularly for a specific domain-parallel corpus. Therefore, data augmentation techniques are widely used in machine translation. The input of the...Show More
Assessing Speech-to-Text Translation Quality: An Overview of Key Metrics
2024 International Conference on Decision Aid Sciences and Applications (DASA)
Year: 2024 | Conference Paper |
Speech-to-text translation plays a pivotal role in numerous real-world applications, from virtual assistants to live translations. Ensuring high-quality translations requires robust evaluation metrics tailored to different model architectures. This paper presents a detailed review of key metrics for evaluating speech-to-text translation quality. Standard metrics like Character Error Rate, Word Err...Show More
Local Error Translation and Translation Technique Analyses from Instagram Account "Info Kejadian Semarang" using Instagram Translation Machine and Google Lens Translation Machine
2023 International Seminar on Application for Technology of Information and Communication (iSemantic)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This aim of this research is to see the difference of the translation through machine translation from Instagram and Google Lens, which one made more error and which one is more creative on using translation technique to using vocabulary to transfer the message. The source data was taken from Info Kejadian Semarang Instagram account, with the research data is Local error translation and using desc...Show More
The Study on NLP-based Semantic Analysis Technology to Improve the Accuracy of English Translation
2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
In this paper, the semantic analysis technology based on NLP(natural language processing) is proposed to optimize the English translation model in order to improve the efficiency of the error correction and accuracy of English machine translation by building the NLP corpus, constructing semantic feature analysis model of English translation text error correction. A grammar error detection model is...Show More
Use of Google Translate in Chinese-Indonesian Travel Word Translation: Evaluation of Accuracy
Mei Rianto Chandra;Vincentius Valiandy Jiuangga;Putri Mustika Susilo;Juniana
2024 9th International Conference on Business and Industrial Research (ICBIR)
Year: 2024 | Conference Paper |
This study examines the application of Google Translate in translating travel-related vocabulary from Indonesian to Chinese. The primary focus is to evaluate the accuracy of these translations using a sample of 90 sentences. The study employs a descriptive methodology to evaluate the accuracy of Google Translate in translating Indonesian travel terminology into Chinese. The assessment results offe...Show More
Design of Intelligent Translation Error Correction System Based on MS-CNN Algorithm
2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON)
Year: 2024 | Conference Paper |
With the rapid development of computer and artificial intelligence technology, intelligent translation is increasingly used in daily life, but existing translation programmes are often inadequate in slang and rhetoric processing. In this paper, we innovatively use the improved MS-CNN algorithm to design a set of intelligent translation error detection system, which optimises the syntactic analysis...Show More
Research on Automatic Error Recognition of Machine English Translation Based on Multi-feature Fusion
2024 Global Conference on Communications and Information Technologies (GCCIT)
Year: 2024 | Conference Paper |
The role of automatic error recognition in machine English translation is very important, but there is a problem of low error recognition accuracy. The normal method cannot solve the problem of automatic recognition of machine English translation errors in English translation, and the recognition is incorrect. Therefore, this paper proposes a multi-feature fusion to carry out a comprehensive autom...Show More
Although machine translation has received great progress in recent years, machine translation results usually existed some errors due to the complex relationship between sentence structure and semantics. Currently, the automatic error detection techniques towards machine translation errors have not been deeply investigated. To deal with the challenge, this paper proposes an intelligent error detec...Show More
Analysis System of English Translation on Cloud Platform Based on Artificial Intelligence
2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
Year: 2023 | Conference Paper |
The rapid development of artificial intelligence has greatly affected various fields including language translation. This paper aims to explore the design and implementation of an AI cloud platform developed specifically for English translation analysis. This is a research work that uses artificial intelligence technology to improve the quality and efficiency of English translation. In this system...Show More
Lip-reading: Phoneme-to-text Machine Translation using Large Language Models
2024 International Conference on Cyber-Physical Social Intelligence (ICCSI)
Year: 2024 | Conference Paper |
An effective conversion of recognised phonemes to words has a significant impact on the overall performance of an automatic lip-reading system. In this paper, transformer-based models have been examined for phoneme-to-text translation. The benchmark BBC Lip-reading Sentence 2 (LRS2) data is used in this study, and the T5 model (Text-To-Text Transfer Transformer) and the GPT-2 model are considered ...Show More
A Research on Machine Translation Error Analysis and Correction Method Based on Computer Vision and Machine Learning
2024 Second International Conference on Data Science and Information System (ICDSIS)
Year: 2024 | Conference Paper |
There are often subtle errors in English machine translation. If these errors can be detected in a timely manner, it would greatly improve the quality and effectiveness of English translation, reduce barriers to human communication, and promote international communication and cooperation in English. Although the vast majority of grammar errors occur in a certain part of the discourse, there are al...Show More
Machine Automatic Translation Evaluation Based on Big Data Algorithms
2024 Second International Conference on Data Science and Information System (ICDSIS)
Year: 2024 | Conference Paper |
Currently,research on machine translation is mainly divided into four stages: dictionary matching method, comprehensive linguistic knowledge method, corpus based statistical machine translation, and neural machine translation. Machine translation evaluation is a hot topic in current machine translation research, which can effectively identify defects in translations and improve translation quality...Show More
A Comprehensive Survey of Machine Translation Approaches
2023 6th International Conference on Advances in Science and Technology (ICAST)
Year: 2023 | Conference Paper |
The field of machine translation (MT) has advanced over the years, with three major approaches dominating the field: Rule-Based Machine Translation (RBMT), Statistical Machine Translation (SMT), and Neural Machine Translation (NMT). This research paper provides an extensive review of these approaches, including their development, advantages, and disadvantages. Initially, RBMT represented a cutting...Show More
An Analysis of Errors in Google Neural Machine Translation
2021 2nd International Conference on Information Science and Education (ICISE-IE)
Year: 2021 | Conference Paper |
Google Neural Machine Translation employs an encoder-decoder framework with an attention mechanism and it has resulted in a tremendous increase in efficiency. However, the quality of its translations is not yet comparable to that of human translations. In order to discover the specific problem of GNMT, the study analyzes the accuracy rate and types of errors in Google Neural Machine Translation by...Show More
Error analysis of Chinese-English machine translation on the clause-complex level
2017 International Conference on Asian Language Processing (IALP)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
Error analysis is an important way to provide feedbacks for the performance of MT systems. This paper analyzes clause-complex level errors under the analytical framework of Clause Complex model, and accounts for the errors from the perspective of Chinese-English grammatical differences. The statistics reveals that probability of clause-complex level errors is relatively high and that the occurrenc...Show More
ASR Error Correction and Domain Adaptation Using Machine Translation
Anirudh Mani;Shruti Palaskar;Nimshi Venkat Meripo;Sandeep Konam;Florian Metze
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2020 | Conference Paper |
Cited by: Papers (28)
Off-the-shelf pre-trained Automatic Speech Recognition (ASR) systems are an increasingly viable service for companies of any size building speech-based products. While these ASR systems are trained on large amounts of data, domain mismatch is still an issue for many such parties that want to use this service as-is leading to not so optimal results for their task. We propose a simple technique to p...Show More
Data Augmentation Methods and Influence of Speech Recognition Performance for TED Talk’s English to Japanese Speech Translation
2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Year: 2024 | Conference Paper |
In this paper, we compare uni-directional and bidirectional translation models for English to Japanese and various data augmentation methods to improve the performance of translation models using the Transformer. In the augmentation methods, we report on the performance improvements in text translation using pseudo parallel corpus based on the Japanese translation of English monolingual corpus, ps...Show More
Research on English Grammar Error Correction Algorithms Based on Deep Learning
2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE)
Year: 2024 | Conference Paper |
In traditional English grammar learning scenarios, learners heavily rely on teachers. The scarcity of educational resources means that teachers cannot correct all the grammatical errors made by students, significantly slowing down the learners' progress. Automatic English grammar correction methods can help learners overcome the limitations of educational resources, demonstrating great significanc...Show More
A novel Chinese-English on translation method using mix-language web pages
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)
Year: 2010 | Conference Paper |
In this paper, we propose a novel Chinese-English organization name translation method with the assistance of mix-language web resources. Firstly, all the implicit out-of-vocabulary terms in the input Chinese organization name are recognized by a CRFs model. Then the input Chinese organization name is translated without considering these recognized out-of-vocabulary terms. Secondly, we construct s...Show More
Comparison of Machine Translation Services in the Biomedical Context
Tamara Slosarek;Daniel Paeschke;Igor Sivtsev;Erwin P. Böttinger
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2024 | Conference Paper |
Patients and healthcare providers often face communication barriers due to different languages, which can impede healthcare quality. Moreover, with digital medicine and health applications, health data in different languages becomes increasingly available and connected. Machine translation services may be suitable to bridge present language barriers. This paper aims to assess the translation quali...Show More
Intelligent Detection System Based on Recurrent Neural Network Machine Translation for Typical Errors in English Translation
2024 Second International Conference on Data Science and Information System (ICDSIS)
Year: 2024 | Conference Paper |
The most important and widely used intelligent recognition translation technique that has developed with the advancement of modern intelligent recognition is machine translation. English translation technologies emerged in recent years as a result of technological developments; however, the accuracy of translation offered by intelligent recognition technology aren’t guaranteed. Consequently, this ...Show More
DataShift: A Cross-Modal Data Augmentation Method for Speech Recognition and Machine Translation
2022 4th International Conference on Natural Language Processing (ICNLP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Data augmentation has been successful in the tasks of different modalities such as speech and text. In this paper, we present a cross-modal data augmentation method, DataShift, to improve the performance of automatic speech recognition (ASR) and machine translation (MT) by randomly shifting values of the feature sequence along the time or frequency dimensions respectively. Experimental results sho...Show More
Tackling Data Scarcity in Speech Translation Using Zero-Shot Multilingual Machine Translation Techniques
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Recently, end-to-end speech translation (ST) has gained significant attention as it avoids error propagation. However, the approach suffers from data scarcity. It heavily depends on direct ST data and is less efficient in making use of speech transcription and text translation data, which is often more easily available. In the related field of multilingual text translation, several techniques have...Show More
Technical Translation and the Internet
2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)
Year: 2022 | Conference Paper |
In dealing with technical translation, the Internet has become an inseparable part of a translator's activities, serving both as a translation resource and a translation tool. In this paper, both of the mentioned aspects will be elaborated, from the perspective of technical translation from any of the three official languages spoken in Bosnia and Herzegovina into English and vice versa, with a spe...Show More
Context Processing in Intelligent Machine Translation Systems
2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
Year: 2023 | Conference Paper |
In order to address the issues of long sentence processing, ambiguity resolution, and ambiguity in statistical machine translation methods, researchers need to develop more adaptive context processing methods to improve translation generalization ability. This article investigates the advantages of neural networks in processing language changes, and explores the establishment and training of short...Show More
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