Single Malt or Blended? A Study in Multilingual Parser Optimization. - Johan Hall; Jens Nilsson 001; Joakim Nivre; Gülsen Eryigit; Beáta Megyesi; Mattias Nilsson; Markus Saers (EMNLP-CoNLL, 2007)

Mixing and Blending Syntactic and Semantic Dependencies. - Yvonne Samuelsson; Oscar Täckström; Sumithra Velupillai; Johan Eklund; Mark Fishel; Markus Saers (CoNLL, 2008)

Learning Stochastic Bracketing Inversion Transduction Grammars with a Cubic Time Biparsing Algorithm. - Markus Saers; Joakim Nivre; Dekai Wu (IWPT, 2009)

Improving Phrase-Based Translation via Word Alignments from Stochastic Inversion Transduction Grammars. - Markus Saers; Dekai Wu (SSST@HLT-NAACL, 2009)

Word Alignment with Stochastic Bracketing Linear Inversion Transduction Grammar. - Markus Saers; Joakim Nivre; Dekai Wu (HLT-NAACL, 2010)

A Systematic Comparison between Inversion Transduction Grammar and Linear Transduction Grammar for Word Alignment. - Markus Saers; Joakim Nivre; Dekai Wu (SSST@COLING, 2010)

Linear Inversion Transduction Grammar Alignments as a Second Translation Path. - Markus Saers; Joakim Nivre; Dekai Wu (WMT@ACL, 2010)

Principled Induction of Phrasal Bilexica. - Markus Saers; Dekai Wu (EAMT, 2011)

Speech Translation with Grammar Driven Probabilistic Phrasal Bilexica Extraction. - Markus Saers; Dekai Wu; Chi-kiu Lo; Karteek Addanki (INTERSPEECH, 2011)

On the Expressivity of Linear Transductions. - Markus Saers; Dekai Wu; Chris Quirk (MTSummit, 2011)

Linear Transduction Grammars and Zipper Finite-State Transducers. - Markus Saers; Dekai Wu (RANLP, 2011)

Reestimation of Reified Rules in Semiring Parsing and Biparsing. - Markus Saers; Dekai Wu (SSST@ACL, 2011)

The Uppsala-FBK systems at WMT 2011. - Christian Hardmeier; Jörg Tiedemann; Markus Saers; Marcello Federico; Prashant Mathur (WMT@EMNLP, 2011)

Translation as Linear Transduction: Models and Algorithms for Efficient Learning in Statistical Machine Translation. - Markus Saers (2011)

From Finite-State to Inversion Transductions: Toward Unsupervised Bilingual Grammar Induction. - Markus Saers; Karteek Addanki; Dekai Wu (COLING, 2012)

LTG vs. ITG Coverage of Cross-Lingual Verb Frame Alternations. - Karteek Addanki; Chi-kiu Lo; Markus Saers; Dekai Wu (EAMT, 2012)

Improving machine translation by training against an automatic semantic frame based evaluation metric. - Chi-kiu Lo; Karteek Addanki; Markus Saers; Dekai Wu (ACL (2), 2013)

Learning to Freestyle: Hip Hop Challenge-Response Induction via Transduction Rule Segmentation. - Dekai Wu; Karteek Addanki; Markus Saers; Meriem Beloucif (EMNLP, 2013)

Unsupervised Transduction Grammar Induction via Minimum Description Length. - Markus Saers; Karteek Addanki; Dekai Wu (HyTra@ACL, 2013)

Bayesian Induction of Bracketing Inversion Transduction Grammars. - Markus Saers; Dekai Wu (IJCNLP, 2013)

Freestyle: a challenge-response system for hip hop lyrics via unsupervised induction of stochastic transduction grammars. - Dekai Wu; Karteek Addanki; Markus Saers (INTERSPEECH, 2013)

Unsupervised learning of bilingual categories in inversion transduction grammar induction. - Markus Saers; Dekai Wu (IWSLT, 2013)

Modeling Hip Hop Challenge-Response Lyrics as Machine Translation. - Karteek Addanki; Markus Saers; Dekai Wu (MTSummit, 2013)

Segmenting vs. Chunking Rules: Unsupervised ITG Induction via Minimum Conditional Description Length. - Markus Saers; Karteek Addanki; Dekai Wu (RANLP, 2013)

Iterative Rule Segmentation under Minimum Description Length for Unsupervised Transduction Grammar Induction. - Markus Saers; Karteek Addanki; Dekai Wu (SLSP, 2013)

Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars. - Markus Saers; Karteek Addanki; Dekai Wu (SSST@NAACL-HLT, 2013)

XMEANT: Better semantic MT evaluation without reference translations. - Chi-kiu Lo; Meriem Beloucif; Markus Saers; Dekai Wu (ACL (2), 2014)

Lexical Access Preference and Constraint Strategies for Improving Multiword Expression Association within Semantic MT Evaluation. - Dekai Wu; Chi-kiu Lo; Markus Saers (CogALex@COLING, 2014)

Ternary Segmentation for Improving Search in Top-down Induction of Segmental ITGs. - Markus Saers; Dekai Wu (SSST@EMNLP, 2014)

Better Semantic Frame Based MT Evaluation via Inversion Transduction Grammars. - Dekai Wu; Chi-kiu Lo; Meriem Beloucif; Markus Saers (SSST@EMNLP, 2014)

Improving semantic SMT via soft semantic role label constraints on ITG alignmens. - Meriem Beloucif; Markus Saers; Dekai Wu (MTSummit, 2015)

Improving word alignment for low resource languages using English monolingual SRL. - Meriem Beloucif; Markus Saers; Dekai Wu (HyTra@COLING, 2016)

Handling Ties Correctly and Efficiently in Viterbi Training Using the Viterbi Semiring. - Markus Saers; Dekai Wu (LATA, 2018)