Publications Vamshi Ambati, Stephan Vogel and Jaime Carbonell. "Collaborative Workflow for Crowdsourcing Translation”, To Appear in the 2012 ACM Conference.

Slides:



Advertisements
Similar presentations
A Word-Class Approach to Labeling PSCFG Rules for Machine Translation (ACL 2011) Andreas Zollmann and Stephan Vogel Presented by Yun Huang 01/07/2011.
Advertisements

The Application of Machine Translation in CADAL Huang Chen, Chen Haiying Zhejiang University Libraries, Hangzhou, China
Cluster Computing for Statistical Machine Translation Qin Gao, Kevin Gimpel, Alok Palikar, Andreas Zollmann Stephan Vogel, Noah Smith.
Statistical Machine Translation Part II: Word Alignments and EM Alexander Fraser ICL, U. Heidelberg CIS, LMU München Statistical Machine Translation.
Linking Entities in #Microposts ROMIL BANSAL, SANDEEP PANEM, PRIYA RADHAKRISHNAN, MANISH GUPTA, VASUDEVA VARMA INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY,
Statistical Machine Translation Part II – Word Alignments and EM Alex Fraser Institute for Natural Language Processing University of Stuttgart
Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2007) Learning for Semantic Parsing Advisor: Hsin-His.
Jing-Shin Chang National Chi Nan University, IJCNLP-2013, Nagoya 2013/10/15 ACLCLP – Activities ( ) & Text Corpora.
Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance July 27 EMNLP 2011 Shay B. Cohen Dipanjan Das Noah A. Smith Carnegie Mellon University.
For Friday No reading Homework –Chapter 23, exercises 1, 13, 14, 19 –Not as bad as it sounds –Do them IN ORDER – do not read ahead here.
Sentiment Analysis An Overview of Concepts and Selected Techniques.
Vamshi Ambati | Stephan Vogel | Jaime Carbonell Language Technologies Institute Carnegie Mellon University A ctive Learning and C rowd-Sourcing for Machine.
NLP and Speech Course Review. Morphological Analyzer Lexicon Part-of-Speech (POS) Tagging Grammar Rules Parser thethe – determiner Det NP → Det.
Shallow Processing: Summary Shallow Processing Techniques for NLP Ling570 December 7, 2011.
Visiwords John Tait Chief Scientific Officer. Warning A few half formed ideas from the world of image and video indexing which may be of interest to MT.
CS4705 Natural Language Processing.  Regular Expressions  Finite State Automata ◦ Determinism v. non-determinism ◦ (Weighted) Finite State Transducers.
Hindi POS tagging and chunking : An MEMM approach Aniket Dalal Kumar Nagaraj Uma Sawant Sandeep Shelke Under the guidance of Prof. P. Bhattacharyya.
The current status of Chinese- English EBMT -where are we now Joy (Ying Zhang) Ralf Brown, Robert Frederking, Erik Peterson Aug 2001.
Introduction to CL Session 1: 7/08/2011. What is computational linguistics? Processing natural language text by computers  for practical applications.
The current status of Chinese-English EBMT research -where are we now Joy, Ralf Brown, Robert Frederking, Erik Peterson Aug 2001.
09:10 Mikko Kurimo: "Unsupervised Morpheme Analysis -- Morpho Challenge Workshop 2007" 09:30 Mikko Kurimo: "Evaluation by a Comparison to a Linguistic.
تمرين شماره 1 درس NLP سيلابس درس NLP در دانشگاه هاي ديگر ___________________________ راحله مکي استاد درس: دکتر عبدالله زاده پاييز 85.
Machine Learning in Natural Language Processing Noriko Tomuro November 16, 2006.
MT Summit VIII, Language Technologies Institute School of Computer Science Carnegie Mellon University Pre-processing of Bilingual Corpora for Mandarin-English.
Distributed Iterative Training Kevin Gimpel Shay Cohen Severin Hacker Noah A. Smith.
Research methods in corpus linguistics Xiaofei Lu.
An Information Theoretic Approach to Bilingual Word Clustering Manaal Faruqui & Chris Dyer Language Technologies Institute SCS, CMU.
Lecture 1, 7/21/2005Natural Language Processing1 CS60057 Speech &Natural Language Processing Autumn 2005 Lecture 1 21 July 2005.
Multilinguality to the Rescue Manaal Faruqui & Chris Dyer Language Technologies Institute SCS, CMU.
CAREERS IN LINGUISTICS OUTSIDE OF ACADEMIA CAREERS IN INDUSTRY.
The Linguistic-Core Approach to Structured Translation and Analysis of Low- Resource Languages 2011 Program Review for ARL MURI Project 4 November 2011.
Ronan Collobert Jason Weston Leon Bottou Michael Karlen Koray Kavukcouglu Pavel Kuksa.
NLP.
Part D: multilingual dependency parsing. Motivation A difficult syntactic ambiguity in one language may be easy to resolve in another language (bilingual.
2010 Failures in Czech-English Phrase-Based MT 2010 Failures in Czech-English Phrase-Based MT Full text, acknowledgement and the list of references in.
How do Humans Evaluate Machine Translation? Francisco Guzmán, Ahmed Abdelali, Irina Temnikova, Hassan Sajjad, Stephan Vogel.
Dependency Tree-to-Dependency Tree Machine Translation November 4, 2011 Presented by: Jeffrey Flanigan (CMU) Lori Levin, Jaime Carbonell In collaboration.
NUDT Machine Translation System for IWSLT2007 Presenter: Boxing Chen Authors: Wen-Han Chao & Zhou-Jun Li National University of Defense Technology, China.
Tracking Language Development with Learner Corpora Xiaofei Lu CALPER 2010 Summer Workshop July 12, 2010.
Advanced MT Seminar Spring 2008 Instructors: Alon Lavie and Stephan Vogel.
Seminar in Applied Corpus Linguistics: Introduction APLNG 597A Xiaofei Lu August 26, 2009.
1 CSI 5180: Topics in AI: Natural Language Processing, A Statistical Approach Instructor: Nathalie Japkowicz Objectives of.
For Wednesday No reading Homework –Chapter 23, exercise 15 –Process: 1.Create 5 sentences 2.Select a language 3.Translate each sentence into that language.
ICS 482: Natural language Processing Pre-introduction
Relation Alignment for Textual Entailment Recognition Cognitive Computation Group, University of Illinois Experimental ResultsTitle Mark Sammons, V.G.Vinod.
For Monday Read chapter 24, sections 1-3 Homework: –Chapter 23, exercise 8.
For Friday Finish chapter 24 No written homework.
For Monday Read chapter 26 Last Homework –Chapter 23, exercise 7.
For Friday Finish chapter 23 Homework –Chapter 23, exercise 15.
CS 4705 Lecture 17 Semantic Analysis: Robust Semantics.
Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models Elias Ponvert, Jason Baldridge and Katrin Erk The University of Texas.
1 An Introduction to Computational Linguistics Mohammad Bahrani.
Statistical Machine Translation Part II: Word Alignments and EM Alex Fraser Institute for Natural Language Processing University of Stuttgart
Natural Language Processing Group Computer Sc. & Engg. Department JADAVPUR UNIVERSITY KOLKATA – , INDIA. Professor Sivaji Bandyopadhyay
1 CPA: Where do we go from here? Research Institute for Information and Language Processing, University of Wolverhampton; UPF Barcelona; University of.
For Monday Read chapter 26 Homework: –Chapter 23, exercises 8 and 9.
Overview of Statistical NLP IR Group Meeting March 7, 2006.
CMU MilliRADD Small-MT Report TIDES PI Meeting 2002 The CMU MilliRADD Team: Jaime Carbonell, Lori Levin, Ralf Brown, Stephan Vogel, Alon Lavie, Kathrin.
A method to restrict the blow-up of hypotheses... A method to restrict the blow-up of hypotheses of a non-disambiguated shallow machine translation system.
DARPA TIDES MT Group Meeting Marina del Rey Jan 25, 2002 Alon Lavie, Stephan Vogel, Alex Waibel (CMU) Ulrich Germann, Kevin Knight, Daniel Marcu (ISI)
Graphical Models for Segmenting and Labeling Sequence Data Manoj Kumar Chinnakotla NLP-AI Seminar.
Dan Roth University of Illinois, Urbana-Champaign 7 Sequential Models Tutorial on Machine Learning in Natural.
ACL/EMNLP 2012 review (eNLP version) Mamoru Komachi 2012/07/17 Educational NLP research group Computational Linguistics Lab Nara Institute of Science and.
Natural Language Processing [05 hours/week, 09 Credits] [Theory]
ACL 2002, Univ. of Pennsylvania, Philadelphia, PA (July 2002) Session: Anaphora and Coreference Session Chair: Lillian Lee Improving Machine Learning.
--Mengxue Zhang, Qingyang Li
convolutional neural networkS
An Overview of Concepts and Selected Techniques
Artificial Intelligence 2004 Speech & Natural Language Processing
Information Retrieval
Presentation transcript:

Publications Vamshi Ambati, Stephan Vogel and Jaime Carbonell. "Collaborative Workflow for Crowdsourcing Translation”, To Appear in the 2012 ACM Conference on Computer Supported Cooperative Work, Washington, USA Vamshi Ambati, Stephan Vogel and Jaime Carbonell. "Multi-Strategy Approaches to Active Learning for Statistical Machine Translation”, Accepted to the 13th Machine Translation Summit, Xiamen, China, 2011 Vamshi Ambati, Stephan Vogel and Jaime Carbonell. "Towards Task Recommendation in Micro-Task Markets”, In the Proc. of the 3rd workshop on Human Computation, AAAI Vamshi Ambati, Sanjika Hewavitharana, Stephan Vogel and Jaime Carbonell. "Active Learning with Multiple Annotations for Comparable Data Classification Task”, In the Proc. of Building Comparable Corpora Workshop, ACL Desai Chen, Chris Dyer, Shay B. Cohen, and Noah A. Smith. Unsupervised Bilingual POS Tagging with Markov Random Fields. In Proceedings of the First Workshop on Unsupervised Learning in NLP Jonathan H. Clark, Chris Dyer, Alon Lavie, and Noah A. Smith. Better Hypothesis Testing for Machine Translation: Controlling for Optimizer Instability. In Proc. of ACL Shay B. Cohen, Dipanjan Das, and Noah A. Smith. Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance. In Proc. EMNLP

More Publications Chris Dyer, Kevin Gimpel, Jonathan H. Clark, and Noah A. Smith. The CMU-ARK German-English Translation System. In Proc. WMT Chris Dyer, Jonathan H. Clark, Alon Lavie, and Noah A. Smith. Unsupervised Word Alignment with Arbitrary Features. In Proceedings of ACL Kevin Gimpel and Noah A. Smith. Quasi-Synchronous Phrase Dependency Grammars for Machine Translation. In Proc. EMNLP Kevin Gimpel and Noah A. Smith. Generative Models of Monolingual and Bilingual Gappy Patterns. In Proc. WMT Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A. Smith. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. In Proceedings ACL Yoong Keok Lee, Aria Haghighi and Regina Barzilay. Modeling Syntactic Context Improves Morphological Segmentation. In Proc. of CoNLL, Tahira Naseem, Regina Barzilay. Using Semantic Cues to Learn Syntax. In Proc. AAAI Elias Ponvert, Jason Baldridge and Katrin Erk Simple unsupervised grammar induction from raw text with cascaded finite state models. In Proceedings of ACL Sanjika Hewavitharana, Nguyen Bach, Qin Gao, Vamshi Ambati and Stephan Vogel, “CMU Haitian Creole-English Translation System”, In Proc. WMT

Publications Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A. Smith. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. In Proceedings ACL Yoong Keok Lee, Aria Haghighi and Regina Barzilay. Modeling Syntactic Context Improves Morphological Segmentation. In Proc. of CoNLL, Tahira Naseem, Regina Barzilay. Using Semantic Cues to Learn Syntax. In Proc. AAAI Elias Ponvert, Jason Baldridge and Katrin Erk Simple unsupervised grammar induction from raw text with cascaded finite state models. In Proceedings of ACL Sanjika Hewavitharana, Nguyen Bach, Qin Gao, Vamshi Ambati and Stephan Vogel, “CMU Haitian Creole-English Translation System”, In Proc. WMT