1,720,987 research outputs found
Neural Machine Translation for Arabic Language
No full textTranslating the Arabic Language into other languages engenders multiple linguistic problems, as no
two languages can match, either in the meaning given to the conforming symbols or in the ways in
which such symbols are arranged in phrases and sentences. Lexical, syntactic and semantic problems
arise when translating the meaning of Arabic words into English. Machine translation (MT) into
morphologically rich languages (MRL) poses many challenges, from handling a complex and rich
vocabulary, to designing adequate MT metrics that take morphology into consideration.
The task of recognizing and generating paraphrases is an essential component in many Arabic natural
language processing (NLP) applications. A well-established machine translation approach for
automatically extracting paraphrases, leverages bilingual corpora to find the equivalent meaning of
phrases in a single language, is performed by "pivoting" over a shared translation in another language.
Neural machine translation has recently become a viable alternative approach to the more widely-used
statistical machine translation. In this thesis, we revisit bilingual pivoting in the context of neural
machine translation and present a paraphrasing model based mainly on neural networks. The thesis we
present also, highlights the key challenges for Arabic language translation into English, and Arabic.
Experimental results across datasets confirm that neural paraphrases significantly outperform those
obtained with statistical machine translation, and indicate high similarity correlation between our model
and human translation, making our model attractive for real-world deployment
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Classification of Al-Hadith Al-Shareef using data mining algorithm
Full text linkIn this paper we compared the effectiveness of four different automatic learning algorithms for classifying Al-Hadith Al-Shareef into 8 selective books depending on Sahih BuKhari.The automatic learning algorithms are Rocchio algorithm, K-NN algorithm (K- Nearest Neighbor), Naïve Bayes algorithm and SVM algorithm (Support Vector Machines). We used TF-IDF technique to compute the relative frequency for each word in a particular document. We split the documents of AL-Hadith in such 75% of AL-Hadiths (1350 Hadiths) are used as training data (build the classifier) and the remaining 25% of AL-Hadith (150 Hadiths) are used for testing the accuracy of the resulting models in reproducing the manual category assignments.The average of words in each document is about 5to10 words
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
The Key Challenges for Arabic Machine Translation
No full textTranslating the Arabic Language into other languages engenders multi
ple linguistic problems, as no two languages can match, either in the meaning given
to the conforming symbols or in the ways in which such symbols are arranged in
phrases and sentences. Lexical, syntactic and semantic problems arise when
translating the meaning of Arabic words into English. Machine translation
(MT) into morphologically rich languages (MRL) poses many challenges, from
handling a complex and rich vocabulary, to designing adequate MT metrics that
take morphology into consideration. We present and highlight the key challenges
for Arabic language translation into English
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