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Sentiment Analysis of Arabic Documents
In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
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2
Evaluating Multiway Multilingual NMT in the Turkic Languages ...
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3
Findings of the WMT 2021 Shared Task on Quality Estimation ...
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Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
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Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters ...
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Robust Open-Vocabulary Translation from Visual Text Representations ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.576/ Abstract: Machine translation models have discrete vocabularies and commonly use subword segmentation techniques to achieve an 'open vocabulary.' This approach relies on consistent and correct underlying unicode sequences, and makes models susceptible to degradation from common types of noise and variation. Motivated by the robustness of human language processing, we propose the use of visual text representations, which dispense with a finite set of text embeddings in favor of continuous vocabularies created by processing visually rendered text with sliding windows. We show that models using visual text representations approach or match performance of traditional text models on small and larger datasets. More importantly, models with visual embeddings demonstrate significant robustness to varied types of noise, achieving e.g., 25.9 BLEU on a character permuted German-English task where subword models degrade to 1.9. ...
Keyword: Bilingual Lexicon Induction; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://underline.io/lecture/37303-robust-open-vocabulary-translation-from-visual-text-representations
https://dx.doi.org/10.48448/n331-6v95
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7
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information ...
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8
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation ...
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9
Identifying the Importance of Content Overlap for Better Cross-lingual Embedding Mappings ...
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Simultaneous Neural Machine Translation with Constituent Label Prediction ...
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Bridging the Gap Between Ontology and Lexicon via Class-Specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus ...
Ell, Basil; Elahi, Mohammad Fazleh; Cimiano, Philipp. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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12
Just Ask! Evaluating Machine Translation by Asking and Answering Questions ...
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13
Findings of the WMT Shared Task on Machine Translation Using Terminologies ...
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14
Translation Transformers Rediscover Inherent Data Domains ...
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15
Phrase-level Active Learning for Neural Machine Translation ...
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16
A Fine-Grained Analysis of BERTScore ...
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17
Improving Sentiment Polarity Detection through Target Identification
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18
Portuguese Comparative Sentences: A Collection of Labeled Sentences on Twitter and Buscapé ...
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19
SENTIMENT ANALYSIS FOR ARABIC TWEETS DATASETS: LEXICON-BASED AND MACHINE LEARNING APPROACHES ...
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SENTIMENT ANALYSIS FOR ARABIC TWEETS DATASETS: LEXICON-BASED AND MACHINE LEARNING APPROACHES ...
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