'Bilingual dictionary' presentation slideshows

MT and Resource Collection for Low-Density Languages: From new MT Paradigms to Proactive Learning and Crowd Sourcing

MT and Resource Collection for Low-Density Languages: From new MT Paradigms to Proactive Learning and Crowd Sourcing. Jaime Carbonell (www.cs.cmu.edu/~jgc) With Vamshi Ambati and Pinar Donmez Language Technologies Institute Carnegie Mellon University 20 May 2010.

613 views • 61 slides

Jaime Carbonell (cs.cmu/~jgc) With Vamshi Ambati and Pinar Donmez

MT and Resource Collection for Low-Density Languages: From new MT Paradigms to Proactive Learning and Crowd Sourcing. Jaime Carbonell (www.cs.cmu.edu/~jgc) With Vamshi Ambati and Pinar Donmez Language Technologies Institute Carnegie Mellon University 20 May 2010.

721 views • 61 slides

Jaime Carbonell (cs.cmu/~jgc) With Vamshi Ambati and Pinar Donmez

MT and Resource Collection for Low-Density Languages: From new MT Paradigms to Proactive Learning and Crowd Sourcing. Jaime Carbonell (www.cs.cmu.edu/~jgc) With Vamshi Ambati and Pinar Donmez Language Technologies Institute Carnegie Mellon University 20 May 2010.

611 views • 61 slides

Cross Lingual Information Retrieval (CLIR)

Cross Lingual Information Retrieval (CLIR). Rong Jin. The Problem. Increasing pressure for accessing information in foreign language: find information written in foreign languages read and interpret that information merge it with information in other languages

1.19k views • 52 slides

Word and Phrase Alignment

663 views • 49 slides

Word and Phrase Alignment

581 views • 49 slides

Word and Phrase Alignment

501 views • 49 slides

Comparable corpora and its application

Comparable corpora and its application. Guide: Dr. Pushpak Bhattacharya. Presented by Srijit Dutt(10305056) Janardhan Singh(10305067) Ashutosh Nirala (10305906) Brijesh Bhatt(10405301). Outline. Motivation Comparable Corpora (Non-parallel Corpora) Basic Architecture

640 views • 46 slides

Machine Translation for Digital Library Content

462 views • 46 slides

Learning Formulation and Transformation Rules for Multilingual Named Entities

Learning Formulation and Transformation Rules for Multilingual Named Entities. Advisor ? Dr. Hsu Reporter ? Chun Kai Chen Author ? Hsin-Hsi Chen, Changhua Yang and Ying Lin. Proceedings of the ACL 2003. Outline. Motivation Objective Introduction Multilingual Named Entity Corpora

361 views • 27 slides

Example-based Machine Translation Pursuing Fully Structural NLP

Example-based Machine Translation Pursuing Fully Structural NLP. Sadao Kurohashi, Toshiaki Nakazawa, Kauffmann Alexis, Daisuke Kawahara University of Tokyo. the car. came. at me. ??. from the side. ? ? ?. at the intersection. ??. ??. ? ?. ????? ?? ???. J: ???????????

376 views • 26 slides

Results and Evaluation of Hungarian Nominal WordNet v1.0

183 views • 18 slides

396 views • 17 slides

Approaches to Machine Translation

Approaches to Machine Translation. CSC 5930 Machine Translation Fall 2012 Dr. Tom Way. How humans do translation?. Learn a foreign language: Memorize word translations Learn some patterns: Exercise: Passive activity: read, listen Active activity: write, speak Translation:

349 views • 15 slides

Bilingual Lexicography

1.06k views • 12 slides

Sandhan

305 views • 11 slides