PPT-Word Alignment

Philipp Koehn USCInformation Sciences Institute USCComputer Science Department School of Informatics University of Edinburgh Some slides adapted from David Kauchak CS159 Fall 2014 Kevin Knight. Declan . Groves, DCU. dgroves@computing.dcu.ie. Parallel Corpus. Seen why from week 2 that data-driven Machine Translation (MT), based on using real-world translation examples/data, is now the most prevelant approach. Jeremy Buhler (. in absentia. ). Wilson Leung 07/2015. Key limitations of the . Smith. -Waterman . local. alignment algorithm. Quadratic. . in time and space complexity. Report only . one optimal alignment. Do Huy Hoang. Sequence Alignment. Sequence Similarity. Alignment. Arrange DNA/Protein sequences to show the similarity. “” denotes the insertion/deletion event. Other variations. Edit distance. Entropy. Rajhans Samdani. Joint work with. Ming-Wei Chang (. Microsoft Research. ) . and Dan Roth. University of Illinois at Urbana-Champaign. Page . 1. Workshop on . Inferning. ,. ICML . 2012,. Edinburgh. Rajhans Samdani. Joint work with. Ming-Wei Chang (. Microsoft Research. ) . and Dan Roth. University of Illinois at Urbana-Champaign. Page . 1. NAACL 2012,. Montreal. Weakly Supervised Learning in NLP. Declan . Groves, DCU. dgroves@computing.dcu.ie. Parallel Corpus. Seen why from week 2 that data-driven Machine Translation (MT), based on using real-world translation examples/data, is now the most prevelant approach. Minimum Edit Distance Definition of Minimum Edit Distance How similar are two strings? Spell correction The user typed “ graffe ” W hich is closest? g raf g raft grail giraffe Computational Biology Resource Acquisition for Syntax-based MT from Parsed Parallel data Alon Lavie, Alok Parlikar and Vamshi Ambati Language Technologies Institute Carnegie Mellon University Research Goals Long-term research agenda (since 2000) focused on developing a unified framework for MT that addresses the core fundamental weaknesses of previous approaches: Tandy . Warnow. Joint with Mike . Nute. and Ehsan Saleh. https://. www.biorxiv.org. /content/early/2018/04/20/304659. Performance Study on bioRxiv . Goal: Evaluate . Bali-Phy. (Redelings and Suchard) on both biological and simulated datasets, in comparison to leading alignment methods on small protein sequence datasets . Jia. -Ming Chang, Paolo Di . Tommaso. , and Cedric . Notredame. TCS. : A new multiple sequence alignment reliability measure to estimate alignment accuracy and improve phylogenetic tree . reconstruction, . Concepts. Introduction to Biostatistics and Bioinformatics. Sequence . Database Searching. This Lecture. Stuart M. Brown, Ph.D.. Center for Health Informatics and Bioinformatics. NYU School of Medicine. Hélène Mainaud Durand. Outline. Pre-alignment requirements. Solution proposed. Results obtained. Summary. Introduction. Mechanical pre-alignment. Active pre-alignment. Beam based Alignment & Beam based feedbacks. Embeddings. : An Empirical Comparison . Shyam Upadhyay. Manaal. . Faruqui. Chris Dyer. Dan Roth. Cross-lingual . Embeddings. 2. children. enfants. money. argent. loi. law. life. vie. monde. world. pays. O-CU project-WG8 alignment. Yingying. Wang . 2019-10-10 . O-CU . project-WG8 alignment----Charter and Scope. WG8 Charter . of . O-RAN:. Develop the software architecture, design, and release plan for the O-RAN Central Unit (O-CU) and O-RAN Distributed Unit (O-DU) based on O-RAN and 3GPP specifications for the NR protocol stack..