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We present our submission to SemEval-2015 Task 7: Diachronic Text Evaluation, in which we approach the task of assigning a date to a text as a multi-class classification problem. We extract n-gram features from the text at the letter, word, and syntactic level, and use these to train a classifier on date-labeled training data. We also incorporate date(More)
In this paper we present the system we submitted to the PAN 2015 competition for the author verification task. We consider the task as a supervised classification problem, where each case in a dataset is an instance. Our approach combines the output from multiple learners using basic stacked generalization. The individual learners are obtained using five(More)
Experiments on the detection of the source language of literary translations are described. Two feature types are exploited, n-gram based features and document-level statistics. Cross-validation results on a corpus of twenty 19th-century texts including translations from Russian, French, German and texts written in English are promising: single feature(More)
There have been no studies specifically examining the efficacy of selective serotonin reuptake inhibitor antidepressants for the symptoms of depression in schizophrenia. This study aimed to determine the efficacy and safety of sertraline as a treatment for depressive symptoms in patients with stable, chronic schizophrenia. The Beck Depression Inventory(More)
Research into the stylistic properties of translations is an issue which has received some attention in computational stylistics. Previous work by Rybicki (2006) on the distinguishing of character idiolects in the work of Polish author Henryk Sienkiewicz and two corresponding English translations using Burrow's Delta method concluded that idiolectal(More)
This is the report for the CNGL ILT3 team entry to the HOO shared task. A Naive-Bayes-based classifier was used in the task which involved error detection and correction in ESL exam scripts. Our system placed 11th out of 14 teams for the detection and recognition tasks and 11th out of 13 teams for the correction task on the based on f-score for both(More)
Declaration I declare that this thesis has not been submitted as an exercise for a degree at this or any other university and it is entirely my own work. I agree to deposit this thesis in the Univer-sity's open access institutional repository or allow the library to do so on my behalf, subject to Irish Copyright Legislation and Trinity College Library(More)
Techniques developed for synchronic text classification problems are applied to a significantly diachronic dataset. The scale of the temporal categories appears to matter. The problem addressed is that of using automated text classification methods to temporally locate The Donation of Constantine. The results reported do not contradict the analysis of(More)