[PDF] Top 20 Authorship Attribution in Bengali Language
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Authorship Attribution in Bengali Language
... As we discussed in Section 1, Authorship Attribution in Bengali is a relatively new problem. Among the three studies we found, Chakraborty (2012) performed a ten-fold cross-validation on three ... See full document
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The Effect of Author Set Size in Authorship Attribution for Lithuanian
... If compared the same number of candidate au- thors, the accuracy of LRytas is always much lower compared to ParlTranscr. This could be due to the language type, text length, and train- ing dataset size. The ... See full document
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Authorship Attribution and Author Profiling of Lithuanian Literary Texts
... Polish language were performed with the literary texts of 2 au- thors using the feed-forward multilayer Percep- tron method (with one or two hidden layers) and the sigmoid activation function trained by the ... See full document
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An Off the shelf Approach to Authorship Attribution
... approaches, authorship attribution has been studied with a wide range of different ...natural language processing (Stamatatos et ...for authorship studies, for instance, (Holmes and Crofts, ... See full document
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Authorship Attribution with Latent Dirichlet Allocation
... Court from 1913 to 1975: Dixon, McTiernan and Rich (available for download from www.csse. monash.edu.au/research/umnl/data ). In this paper, we considered the Dixon/McTiernan and the Dixon/Rich binary classification ... See full document
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Modality Specific Meta Features for Authorship Attribution in Web Forum Posts
... 3-gram language models. We use the training data to train one language model per author and each model generates a perplexity, or cross entropy, value per ...the language models and computing ... See full document
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Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism Detection
... thorship attribution, and plagiarism ...from authorship at- tribution yielded significant improvements for the task of learner language assessment, and features from learner language ... See full document
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1. Authorship attribution using markov chain
... natural language text, we might consider a simple model where letters and spaces were generated independently according to their probabilities of occurrence in the ... See full document
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Sparse Coding in Authorship Attribution for Polish Tweets
... While language filtering for using tweets in the Polish language exclusively seems to be a reasonable thing to do, it might not be per- fectly adequate for the content such as ...style. Language ... See full document
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Authorship Attribution with Author aware Topic Models
... David Mimno and Andrew McCallum. 2008. Topic models conditioned on arbitrary features with Dirichlet-multinomial regression. In UAI 2008: Pro- ceedings of the 24th Conference on Uncertainty in Ar- tificial Intelligence, ... See full document
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Continuous N gram Representations for Authorship Attribution
... Beside being effective indicators of an author’s writing style, both content words and character n-grams are also straightforward to extract from documents and are therefore widely used for au- thor attribution. ... See full document
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Literary authorship attribution with phrase structure fragments
... that language production and compre- hension exploits an inventory of fragments from pre- vious language experience that are used as building blocks for novel ... See full document
5
A Deep Context Grammatical Model For Authorship Attribution
... Stamatatos (2009) describes a number of other shortcom- ings with the syntactic approach, including the language dependence of the parsing/tagging tools required in order to prepare the source text, and the ... See full document
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Authorship Attribution of Micro Messages
... We also apply a new set of features, never previ- ously used for this task – flexible patterns. Flexi- ble patterns essentially capture the context in which function words are used. The effectiveness of func- tion words ... See full document
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Authorship Attribution with Topic Models
... traditional authorship attribution data set, as it contains only three authors who wrote relatively long texts in a formal ...undisputed authorship, which were written in periods when only one of the ... See full document
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Authorship Attribution Using Probabilistic Context Free Grammars
... writing style at the syntactic level, it may not accu- rately capture lexical information. Since both syn- tactic and lexical information is presumably useful in capturing the author’s overall writing style, we also ... See full document
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Language Independent Authorship Attribution with Character Level N Grams
... The ben- efits of the character-level model in the context of author attribution are that it avoids the need for ex- plicit word segmentation in the case of Asian lan- guages, it capture[r] ... See full document
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Applicability of Relevant Authorship Attribution Technique in Malayalam
... ABSTRACT:Authorship attribution has been around arguably for a long time, from the federalist papers to the 16th book of Oz it has been successfully used to find out authors of disputed texts in ...computers ... See full document
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Lost in Translation: Authorship Attribution using Frame Semantics
... general authorship attribution problem, the specific problem of attributing trans- lated texts to their original author has received little ...proper attribution to the original author will be very ... See full document
6
Cross Language Authorship Attribution
... We first run the classification for the English and Span- ish datasets separately (as a classical authorship attribution task). For both datasets the best accuracy was achieved by linear SVM with ... See full document
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