logging in or signing up Natural Language Processing aSGuest26001 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 5933 Category: Science & Tech.. License: All Rights Reserved Like it (3) Dislike it (0) Added: September 15, 2009 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Natural Language Processing : Natural Language Processing Rahul Jain B. Tech (CSE), 2nd year Doon Valley Instt. Of Engg. & Tech. Karnal Natural? : Natural? Natural Language? Refers to the language spoken by people, e.g. English, Japanese, Swahili, as opposed to artificial languages, like C++, Java, etc. Slide 3: Natural Language Processing Automatic analysis of human language by computer algorithms. NLP SYSTEMS : NLP SYSTEMS Natural Language Understanding System Natural Language Generation System Why Natural Language Processing ? : Why Natural Language Processing ? Huge amounts of data Internet = at least 20 billions pages Intranet Applications for processing large amounts of texts require NLP expertise Why is Computer Processing of Human Language Difficult? : Why is Computer Processing of Human Language Difficult? How can a machine understandthese differences? : How can a machine understandthese differences? Decorate the cake with the frosting. Decorate the cake with the kids. Throw out the cake with the frosting. Throw out the cake with the kids. How to tackle these problems? : How to tackle these problems? Slide 9: Solution is NATURAL LANGUAGE PROCESSING Major tasks in NLP : Major tasks in NLP Automatic summarization Extraction and abstraction Evaluation Applications : Applications ADEPT 1 Technology For the organizational purposes REFERENCES : REFERENCES Natural Language Processing: An Introduction to an Emerging Technology: Harry Tennant: Online references www.wikipedia.org Blogs on Natural Language Processing from the Microsoft’s official site. You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Natural Language Processing aSGuest26001 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 5933 Category: Science & Tech.. License: All Rights Reserved Like it (3) Dislike it (0) Added: September 15, 2009 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Natural Language Processing : Natural Language Processing Rahul Jain B. Tech (CSE), 2nd year Doon Valley Instt. Of Engg. & Tech. Karnal Natural? : Natural? Natural Language? Refers to the language spoken by people, e.g. English, Japanese, Swahili, as opposed to artificial languages, like C++, Java, etc. Slide 3: Natural Language Processing Automatic analysis of human language by computer algorithms. NLP SYSTEMS : NLP SYSTEMS Natural Language Understanding System Natural Language Generation System Why Natural Language Processing ? : Why Natural Language Processing ? Huge amounts of data Internet = at least 20 billions pages Intranet Applications for processing large amounts of texts require NLP expertise Why is Computer Processing of Human Language Difficult? : Why is Computer Processing of Human Language Difficult? How can a machine understandthese differences? : How can a machine understandthese differences? Decorate the cake with the frosting. Decorate the cake with the kids. Throw out the cake with the frosting. Throw out the cake with the kids. How to tackle these problems? : How to tackle these problems? Slide 9: Solution is NATURAL LANGUAGE PROCESSING Major tasks in NLP : Major tasks in NLP Automatic summarization Extraction and abstraction Evaluation Applications : Applications ADEPT 1 Technology For the organizational purposes REFERENCES : REFERENCES Natural Language Processing: An Introduction to an Emerging Technology: Harry Tennant: Online references www.wikipedia.org Blogs on Natural Language Processing from the Microsoft’s official site.