The Constitution of an Arabic Touristic Corpus

Lhioui, Chahira; Zouaghi, Anis; Zrigui, Mounir

doi:10.1016/j.procs.2018.10.457

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Although many word sense disambiguation approaches have been developed [134], [135], they typically increase the computational complexity, which may not be a desirable solution. Moreover, most of the selected articles have built their own dataset, especially for the Arabic research, and others build Arabic corpora [136], [137], [138], whereas others used translation techniques [61], [72]. However, these solutions are limited, and there is still an open-domain problem that needs a lot of attention.…”

Section: Open Research Problemsmentioning

confidence: 99%

English and Arabic Chatbots: A Systematic Literature Review

Alsheddi¹,

Alhenaki²

2022

IJACSA

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In recent years, the availability of chatbot applications has increased substantially with the advancement of artificial intelligence techniques, and research efforts have been active in the English language, which presents state-of-the-art solutions. However, despite the popularity of the Arabic language, its research community is still in an immature stage. Therefore, the main objective of this systematic literature review is studying state-of-the-art researchfor both the English and Arabic languagesto answer the proposed research questions regarding the development approaches, application domains, evaluation metrics, and development challenges of chatbot applications. The findings show that researchers have devoted more attention to the education domain using retrieval-based approaches while the generation-based approach has grown in popularity recently for providing new responses tasks. Whereas the hybrid approach for ranking multi-possible responses of combining both previous approaches shows a performance improvement. Besides, most metrics used to evaluate chatbot performance are human-based, followed by bilingual evaluation understudy and accuracy metrics. However, defining a common framework for evaluating chatbots remains a challenge. Finally, the open problems and future directions are highlighted to help in developing chatbots with minimal human interference to simulate natural conversations.

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Section: Open Research Problemsmentioning

confidence: 99%

English and Arabic Chatbots: A Systematic Literature Review

Alsheddi¹,

Alhenaki²

2022

IJACSA

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“…Its basic concept is to use a common intermediate language, such as English, and a multilingual vocabulary to first translate source-language words into intermediate language words, and then to translate the translated intermediate language words into target language words using the vocabulary to complete the construction of a bilingual dictionary. According to the literature [21] there is a random translation matrix from the source language to the target language, which can translate the source language to the target language, assuming a one-to-many relationship in translation.…”

Section: Related Workmentioning

confidence: 99%

Research on Cross-cultural Text Reconstruction of Urban Publicity Translation Based on Computer Corpus

Tang

2022

Scientific Programming

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Urban publicity translation, as a cross-cultural communication activity, should aim for communication, employ various translation strategies, adapt to the target language’s expression habits, overcome cultural differences, and make the translation easy to accept for target readers. In order to achieve the goal of external promotion, publicity texts should respect and conform to the target culture’s language expression as well as the psychology of the audience during the initial stage of urban publicity translation. This paper analyzes the causes of cultural vacancies in the translation of urban publicity materials, starting with the classification and sorting of cultural vacancies in the translation of publicity materials. This paper focuses on using a computer corpus to reconstruct cross-cultural text for urban publicity translation. An automatic corpus expansion method combined with the EM (expectation-maximization) algorithm is proposed to solve this problem. The model is iteratively trained after the generated single corpus is combined with the original data set to create a parallel corpus. Finally, as another important feature of words, the word cooccurrence degree is incorporated into the interword relationship extraction model to create a new word translation evaluation index. Finally, the experiment demonstrates that the EIWR (extraction of interword relations) has higher accuracy than the VSM (vector space model).

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The Constitution of an Arabic Touristic Corpus

Cited by 2 publications

References 2 publications

English and Arabic Chatbots: A Systematic Literature Review

English and Arabic Chatbots: A Systematic Literature Review

Research on Cross-cultural Text Reconstruction of Urban Publicity Translation Based on Computer Corpus

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