Localization is one of the most important issues in mobile robotics, especially when an autonomous robot performs a navigation task. The current and popular occupancy grid map, based on 2D LiDar simultaneous localization mapping (SLAM), suitable easy for path planning, adaptive Monte Carlo (AMCL) method can realize rooms indoor environments. However, conventional fails to locate there are simil...

Translation of a literary text is a difficult task, for understanding literature requires knowledge of various linguistic levels of a literary text in addition to strategies and methods of translation. To this should still be added cognitive-based translation training which helps practitioners preserve the aesthetic aspects of a literary text. Focusing on short story as a genre with both ...

Objectives: To improve the efficiency of tri-level segmentation tasks for handwritten Gujarati text. Methods: Using hybrid methods segmentation, we have used line, word and character from image. This study presents a paradigm that works with touching characters, slop line written on page, overlapping, etc. It evaluated dataset 500+ images created by us different writing sentences people. We Hor...

Text classification is a major task of NLP (Natural Language Processing) and has been the focus attention for years. News as branch text characterized by complex structure, large amounts information long length, which in turn leads to decrease accuracy classification. To improve Chinese news texts, we present model based on multi-level semantic features. First, add category correlation coeffici...

In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each of them including a music component, provided in the MIDI format, as well as a lyrics component, made available as raw text. We then describe our work on enhancing this corpus with emotion annotations using crowdsourc...