• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 16 matches

• 2016
• 
  Sawsan Alqahtani, Mahmoud Ghoneim, Mona T. Diab:
  Investigating the Impact of Various Partial Diacritization Schemes on Arabic-English Statistical Machine Translation. AMTA (1) 2016: 191-204
• 
  Rajen Chatterjee, Mihael Arcan, Matteo Negri, Marco Turchi:
  Instance Selection for Online Automatic Post-Editing in a multi-domain scenario. AMTA (1) 2016: 1-15
• 
  Boxing Chen, Roland Kuhn, George F. Foster, Colin Cherry, Fei Huang:
  Bilingual Methods for Adaptive Training Data Selection for Machine Translation. AMTA (1) 2016: 93-106
• 
  Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter:
  Guided Alignment Training for Topic-Aware Neural Machine Translation. AMTA (1) 2016: 121-134
• 
  Hamidreza Ghader, Christof Monz:
  Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation? AMTA (1) 2016: 149-162
• 
  Biman Gujral, Huda Khayrallah, Philipp Koehn:
  Translation of Unknown Words in Low Resource Languages. AMTA (1) 2016: 163-176
• 
  John Hewitt, Matt Post, David Yarowsky:
  Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. AMTA (1) 2016: 177-190
• 
  Hieu Hoang, Nikolay Bogoychev, Lane Schwartz, Marcin Junczys-Dowmunt:
  Fast, Scalable Phrase-Based SMT Decoding. AMTA (1) 2016: 40-52
• 
  Kenji Imamura, Eiichiro Sumita:
  Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation. AMTA (1) 2016: 79-92
• 
  Rebecca Knowles, Philipp Koehn:
  Neural Interactive Translation Prediction. AMTA (1) 2016: 107-120
• 
  Ander Martinez, Yuji Matsumoto:
  Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language. AMTA (1) 2016: 135-148
• 
  John E. Ortega, Felipe Sánchez-Martínez, Mikel L. Forcada:
  Fuzzy-match repair using black-box machine translation systems: what can be expected? AMTA (1) 2016: 27-39
• 
  Youngki Park, Hwidong Na, Hodong Lee, Jihyun Lee, Inchul Song:
  An Effective Diverse Decoding Scheme for Robust Synonymous Sentence Translation. AMTA (1) 2016: 53-64
• 
  Marina Sanchez-Torron, Philipp Koehn:
  Machine Translation Quality and Post-Editor Productivity. AMTA (1) 2016: 16-26
• 
  Daniel Torregrosa, Juan Antonio Pérez-Ortiz, Mikel L. Forcada:
  Ranking suggestions for black-box interactive translation prediction systems with multilayer perceptrons. AMTA (1) 2016: 65-78
• 
  Spence Green, Lane Schwartz:
  12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, AMTA 2016, Austin, TX, USA, October 28 - November 1, 2016. The Association for Machine Translation in the Americas 2016 [contents]