October Halloween Fun: to 10; Pages:11 to 20; Pages:21 to 30; Pages:31 to 40; Pages:41 to 50; Pages:51 to 60; Pages:61 to 63
Title | October Halloween Fun: to 10; Pages:11 to 20; Pages:21 to 30; Pages:31 to 40; Pages:41 to 50; Pages:51 to 60; Pages:61 to 63 PDF eBook |
Author | Lee Ellen Ehorn |
Publisher | |
Pages | 63 |
Release | 1995 |
Genre | |
ISBN | 9781773447490 |
Touchstone Level 2 Student's Book
Title | Touchstone Level 2 Student's Book PDF eBook |
Author | Michael McCarthy |
Publisher | Cambridge University Press |
Pages | 161 |
Release | 2014-01-09 |
Genre | Foreign Language Study |
ISBN | 1107681731 |
"Touchstone is an innovative four-level series for adults and young adults, taking students from beginning to intermediate levels (CEFR: A1-B2). Based on research into the Cambridge English Corpus, Touchstone teaches English as it is really used. It presents natural language in authentic contexts, and explicitly develops conversation strategies so learners speak with fluency and confidence."--Page 4 of cover.
Everybody Was Kung Fu Fighting
Title | Everybody Was Kung Fu Fighting PDF eBook |
Author | Vijay Prashad |
Publisher | Beacon Press |
Pages | 232 |
Release | 2002-11-18 |
Genre | Social Science |
ISBN | 9780807050118 |
Selected as One of the Village Voice's Favorite 25 Books of 2001 In this landmark work, historian Vijay Prashad refuses to engage the typical racial discussion that matches people of color against each other while institutionalizing the primacy of the white majority. Instead he examines more than five centuries of remarkable historical evidence of cultural and political interaction between Blacks and Asians around the world, in which they have exchanged cultural and religious symbols, appropriated personas and lifestyles, and worked together to achieve political change.
Elizabeth's Fortune. [A novel.]
Title | Elizabeth's Fortune. [A novel.] PDF eBook |
Author | Bertha Thomas |
Publisher | |
Pages | 0 |
Release | 1887 |
Genre | |
ISBN |
Content Area Reading
Title | Content Area Reading PDF eBook |
Author | Mary M. Dupuis |
Publisher | |
Pages | 406 |
Release | 1982 |
Genre | Education |
ISBN |
Copper Sun
Title | Copper Sun PDF eBook |
Author | Sharon M. Draper |
Publisher | Simon and Schuster |
Pages | 342 |
Release | 2012-06-19 |
Genre | Young Adult Fiction |
ISBN | 1439115117 |
A Time Best YA Book of All Time (2021) In this “searing work of historical fiction” (Booklist), Coretta Scott King Award-winning author Sharon M. Draper tells the epic story of a young girl torn from her African village, sold into slavery, and stripped of everything she has ever known—except hope. Amari's life was once perfect. Engaged to the handsomest man in her tribe, adored by her family, and fortunate enough to live in a beautiful village, it never occurred to her that it could all be taken away in an instant. But that was what happened when her village was invaded by slave traders. Her family was brutally murdered as she was dragged away to a slave ship and sent to be sold in the Carolinas. There she was bought by a plantation owner and given to his son as a "birthday present". Now, survival is all Amari can dream about. As she struggles to hold on to her memories, she also begins to learn English and make friends with a white indentured servant named Molly. When an opportunity to escape presents itself, Amari and Molly seize it, fleeing South to the Spanish colony in Florida at Fort Mose. Along the way, their strength is tested like never before as they struggle against hunger, cold, wild animals, hurricanes, and people eager to turn them in for reward money. The hope of a new life is all that keeps them going, but Florida feels so far away and sometimes Amari wonders how far hopes and dreams can really take her.
Deep Learning and Linguistic Representation
Title | Deep Learning and Linguistic Representation PDF eBook |
Author | Shalom Lappin |
Publisher | CRC Press |
Pages | 162 |
Release | 2021-04-26 |
Genre | Computers |
ISBN | 1000380327 |
The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge. Key Features: combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks.