Instructions for Poster Paper Authors/Presenters

Dimensions:
3 feet high (36") x 4 feet wide (48")
Orientation (Landscape) (however, if you are committed to portrait orientation, this can be accommodated)

Materials Provided:
Posterboards with supports which stand on the provided tables Mounting materials including: Clips, push pins, and double-sided tape

Research Poster Session Schedule

Poster Session A, Friday 28 August, 1:00-3:00
Stephen Doherty and Sharon O'BrienCan MT Output Be Evaluated Through Eye Tracking?Evaluation
Midori TatsumiCorrelation between Automatic Evaluation Metric Scores, Post-Editing Speed, and Some Other FactorsEvaluation
Emmanuel Prochasson, Emmanuel Morin and Kyo KageuraAnchor Points for Bilingual Lexicon Extraction from Small Comparable CorporaCorpora & data mining
Kun Yu and Junichi TsujiiBilingual Dictionary Extraction from WikipediaCorpora & data mining
Tatsuya Ishisaka, Masao Utiyama, Eiichiro Sumita and Kazuhide YamamotoDevelopment of a Japanese-English Software Manual Parallel CorpusCorpora & data mining
Masao Utiyama, Takeshi Abekawa, Eiichiro Sumita and Kyo KageuraHosting Volunteer TranslatorsCorpora & data mining
Alexandre Rafalovitch and Robert DaleUnited Nations General Assembly Resolutions: A Six-Language Parallel CorpusCorpora & data mining
Alain Désilets and Matthieu HermetUsing Automatic Roundtrip Translation to Repair General Errors in Second Language WritingSMT-based tools
Stéphane Huet, Julien Bourdaillet, Philippe Langlais and Guy LapalmePseudo Relevance Feedback for Translation SpottingSMT-based tools
Marianne Starlander and Paula EstrellaRelating recognition, translation and usability of two different versions of MedSLTSMT-based tools
Ying ZhangVirtual Babel: Towards Context-Aware Machine Translation in Virtual WorldsSMT-based tools
István Varga and Shoichi YokoyamaTransfer rule generation for a Japanese-Hungarian machine translation systemMultilingual issues
Manny Rayner, Paula Estrella, Pierrette Bouillon and Yukie NakaoUsing Artificial Data to Compare the Difficulty of Using Statistical Machine Translation in Different Language-PairsMultilingual issues
Poster Session B, Friday 28 August, 3:30-5:30
Hamidreza Kobdani, Alexander Fraser and Hinrich SchützeWord Alignment by Thresholded Two-Dimensional NormalizationSMT training & decoding
Deyi Xiong, Min Zhang, Aiti Aw and Haizhou LiEfficient Beam Thresholding for Statistical Machine TranslationSMT training & decoding
Yifan He and Andy WayImproving the Objective Function in Minimum Error Rate TrainingSMT training & decoding
Patrik Lambert, Yanjun Ma, Sylwia Ozdowska and Andy WayTracking Relevant Alignment Characteristics for Machine TranslationSMT training & decoding
Ankit Srivastava and Andy WayUsing Percolated Dependencies for Phrase Extraction in SMTSMT training & decoding
Deyi Xiong, Min Zhang, Aiti Aw and Haizhou LiA Source Dependency Model for Statistical Machine TranslationSyntax & reordering
Arantza Díaz de Ilaraza, Gorka Labaka and Kepa SarasolaReordering on Spanish-Basque SMTSyntax & reordering
Hwidong Na, Jin-Ji Li, Jungi Kim and Jong-Hyeok LeeImproving Fluency by Reordering Target Constituents using MST Parser in English-to-Japanese phrase-based SMTSyntax & reordering
Vamshi Ambati, Alon Lavie and Jaime CarbonellExtraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target LanguagesSyntax & reordering
Takako Aikawa and Achim RuoppChained System: A Linear Combination of Different Types of Statistical Machine Translation SystemsNew types of MT, system adaptation & combination
Jinhua Du and Andy WaySource-Side Context-Informed Hypothesis Alignment for Combining Outputs from Machine Translation SystemsNew types of MT, system adaptation & combination
Loic Dugast, Jean Senellart and Philipp KoehnSelective addition of corpus-extracted phrasal lexical rules to a rule-based machine translation systemNew types of MT, system adaptation & combination
Gregor ThurmairComparing different architectures of hybrid Machine Translation systemsNew types of MT, system adaptation & combination
Holger Schwenk and Jean SenellartTranslation Model Adaptation for an Arabic/French News Translation System by Lightly-Supervised TrainingNew types of MT, system adaptation & combination

Last updated: Fri Aug 14 11:39:24 PDT 2009