Candles of Dickens in the Darkness of Victorian Era: Common Symbols in Christmas Books

The aim of this study is to stylistically analyze the common symbols in Charles Dickens’s Christmas Books, which revived the Christmas spirit in the dark Victorian era. Experiencing the vast impacts of Industrial Revolution, people in Dickens’s time were suffering from the consequences of industrialism, poverty, class distinctions and shifting values within a dark world. Upon combining sentimentality towards human nature, Dickens, in his Christmas stories, revived a festival which faded away from English life during the 19th c. Through this blending of a Christmas spirit in the dark Victorian era, Dickens drew the desired picture of a better future for his readers. His ‘Dickensian’ style enables questioning and judging the discrepancies in the society and the defects of humanity while entertaining the reader with the concerns of family harmony, forgiveness, charity, happiness, compassion and Christmas joy. Yet instead of presenting his messages explicitly, in the deeper structure, Charles Dickens directs his readers through the messages with the use of symbols in his five Christmas stories. To this end, this study aims at clarifying the common symbols in the stories of Christmas Books to suggest that Dickens lights a candle via his stories for his readers who were imprisoned in the dark Victorian age

A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation

In this paper, we introduce a trie-structured Bayesian model for unsupervised morphological segmentation. We adopt prior information from different sources in the model. We use neural word embeddings to discover words that are morphologically derived from each other and thereby that are semantically similar. We use letter successor variety counts obtained from tries that are built by neural word embeddings. Our results show that using different information sources such as neural word embeddings and letter successor variety as prior information improves morphological segmentation in a Bayesian model. Our model outperforms other unsupervised morphological segmentation models on Turkish and gives promising results on English and German for scarce resources.Comment: 12 pages, accepted and presented at the CICLING 2017 - 18th International Conference on Intelligent Text Processing and Computational Linguistic

80. yaş gününde Adnan Saygun şöleni

Taha Toros Arşivi, Dosya No: 9-Ahmet Adnan Saygun. Not: Gazetenin "Müzik" köşesinde yayımlanmıştır.Unutma İstanbul projesi İstanbul Kalkınma Ajansı'nın 2016 yılı "Yenilikçi ve Yaratıcı İstanbul Mali Destek Programı" kapsamında desteklenmiştir. Proje No: TR10/16/YNY/010

A Sensorimotor Model for Computing Intended Reach Trajectories

The presumed role of the primate sensorimotor system is to transform reach targets from retinotopic to joint coordinates for producing motor output. However, the interpretation of neurophysiological data within this framework is ambiguous, and has led to the view that the underlying neural computation may lack a well-defined structure. Here, I consider a model of sensorimotor computation in which temporal as well as spatial transformations generate representations of desired limb trajectories, in visual coordinates. This computation is suggested by behavioral experiments, and its modular implementation makes predictions that are consistent with those observed in monkey posterior parietal cortex (PPC). In particular, the model provides a simple explanation for why PPC encodes reach targets in reference frames intermediate between the eye and hand, and further explains why these reference frames shift during movement. Representations in PPC are thus consistent with the orderly processing of information, provided we adopt the view that sensorimotor computation manipulates desired movement trajectories, and not desired movement endpoints

Hasan-Ali Yücel'in ardından

Taha Toros Arşivi, Dosya No: 109-Hasan Ali-Can Yüce

Bir yıldönümü

Taha Toros Arşivi, Dosya No: 220-Kubilay (Mustafa Fehmi). Not: Gazetenin "Arada Bir" köşesinde yayımlanmıştır