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Freelance subtitlers in a subtitle production network in the OTT industry in Thailand: a longitudinal study
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Pidchamook, Wichaya. - : Dublin City University. School of Applied Language and Intercultural Studies, 2022. : Dublin City University. Centre for Translation and Textual Studies (CTTS), 2022
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In: Pidchamook, Wichaya (2022) Freelance subtitlers in a subtitle production network in the OTT industry in Thailand: a longitudinal study. PhD thesis, Dublin City University. (2022)
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Towards an empirical evaluation of translated texts and translation quality ; Vers une évaluation empirique des textes traduits et de la qualité en traduction
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In: https://hal.archives-ouvertes.fr/hal-03584752 ; 2022 (2022)
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Relationships between computational thinking and the quality of computer programs
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In: ISSN: 1360-2357 ; EISSN: 1573-7608 ; Education and Information Technologies ; https://hal.archives-ouvertes.fr/hal-03596834 ; Education and Information Technologies, Springer Verlag, In press, ⟨10.1007/s10639-022-10921-z⟩ (2022)
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Neural MT and Human Post-editing : a Method to Improve Editorial Quality
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In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022)
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Language identification, a tool for Corsican and for the evaluation of linguistic resources ; L'identification de langue, un outil au service du corse et de l'évaluation des ressources linguistiques
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In: Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-03633290 ; Traitement Automatique des Langues, 2022, Diversité Linguistique, 62 (3), pp.13-37 ; https://www.atala.org/content/diversité-linguistique-linguistic-diversity-natural-language-processing (2022)
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Oslo Early Education Study, study 2: Impact of a professional development intervention on the quality of caregiver–child interactions. ...
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Quality and Efficiency of Manual Annotation: Data from the Pre-annotation Bias Experiment (part of the PDT-C 2.0 project)
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Nonverbal Auditory Cues Allow Relationship Quality to be Inferred During Conversations. ...
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Candidacy for Cochlear Implantation in Prelingual Profoundly Deaf Adult Patients
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In: Journal of Clinical Medicine; Volume 11; Issue 7; Pages: 1874 (2022)
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A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining
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In: Information; Volume 13; Issue 5; Pages: 234 (2022)
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Perceived Environmental Attributes: Their Impact on Older Adults’ Mental Health in Malaysia
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3595 (2022)
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Translation and Cultural Adaptation into Portuguese of the Quality of Dying and Death Scale for Family Members of Patients in Intensive Care Units
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3614 (2022)
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Comprehensive Evaluation of Vocal Outcomes and Quality of Life after Total Laryngectomy and Voice Restoration with J-Flap and Tracheoesophageal Puncture
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In: Cancers; Volume 14; Issue 3; Pages: 544 (2022)
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Fast, Ungapped Reads Mapping Using Squid
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5442 (2022)
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How Will Video Conference Fatigue Affect Participants of MICE in the With-COVID-19 Era? Focusing on Video Conference Quality, Social Presence Theory, and Flow
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 8; Pages: 4601 (2022)
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QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing
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In: Sensors; Volume 22; Issue 1; Pages: 401 (2022)
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Neural Models for Measuring Confidence on Interactive Machine Translation Systems
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1100 (2022)
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Abstract:
Reducing the human effort performed with the use of interactive-predictive neural machine translation (IPNMT) systems is one of the main goals in this sub-field of machine translation (MT). Prior works have focused on changing the human–machine interaction method and simplifying the feedback performed. Applying confidence measures (CM) to an IPNMT system helps decrease the number of words that the user has to check through the translation session, reducing the human effort needed, although this supposes losing a few points in the quality of the translations. The effort reduction comes from decreasing the number of words that the translator has to review—it only has to check the ones with a score lower than the threshold set. In this paper, we studied the performance of four confidence measures based on the most used metrics on MT. We trained four recurrent neural network (RNN) models to approximate the scores from the metrics: Bleu, Meteor, Chr-f, and TER. In the experiments, we simulated the user interaction with the system to obtain and compare the quality of the translations generated with the effort reduction. We also compare the performance of the four models between them to see which of them obtains the best results. The results achieved showed a reduction of 48% with a Bleu score of 70 points—a significant effort reduction to translations almost perfect.
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Keyword:
confidence measures; interactive machine translation; machine translation; neural model; quality estimation
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URL: https://doi.org/10.3390/app12031100
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Stød Timing and Domain in Danish
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In: Languages; Volume 7; Issue 1; Pages: 50 (2022)
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Factors Associated with School Effectiveness: Detection of High- and Low-Efficiency Schools through Hierarchical Linear Models
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In: Education Sciences; Volume 12; Issue 1; Pages: 59 (2022)
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