--- title: "Jason Eisner — papers and cards" description: "Jason Eisner: 3 paper cards in the Research library (2003–2016), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/jason-eisner/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jason-eisner/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jason Eisner # Jason Eisner 3 paper cards in the Research library · 2003–2016 Jason Eisner wrote 3 of the papers Mova reads, in 2003–2016, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [David Smith](https://md.research.elamur.ai/free/en/authors/david-smith/), Dingquan Wang. [OpenAlex](https://openalex.org/A5052467896) · [ORCID](https://orcid.org/0000-0002-8861-0772) · [**h-index 51**](https://openalex.org/authors/A5052467896) · [7901 citations](https://openalex.org/authors/A5052467896) · [307 works](https://openalex.org/works?filter=author.id:A5052467896) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jason+Eisner) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jason+Eisner) · [dblp](https://dblp.org/search?q=Jason+Eisner) · [ACL Anthology](https://aclanthology.org/search/?q=Jason+Eisner) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Jason+Eisner) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 ## Papers 1. **[The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages](https://md.research.elamur.ai/free/en/papers/ud-2016-wang-galactic-dependencies-treebanks-getting-more/)** *(2016)* Galactic Dependencies 1.0 is a set of synthetic languages in UD format. Each is made from a real UD treebank by permuting the order of the dependents of nouns and verbs, to match the word order of other real languages. Starting from 37 real treebanks, the set gives 53,428 languages in total. The authors check realism… 2. **[Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies](https://md.research.elamur.ai/free/en/papers/smith-2006-quasi-synchronous-grammars-alignment-soft/)** *(2006)* The paper defines quasi-synchronous grammar (QG). Given the parse tree of the source sentence, a QG builds a monolingual grammar over target trees. The target tree need not be isomorphic to the source. Each target node is aligned to at most one source node, and the allowed relations between a target parent-child pair… 3. **[Learning Non-Isomorphic Tree Mappings for Machine Translation](https://md.research.elamur.ai/free/en/papers/eisner-2003-learning-non-isomorphic-tree-mappings/)** *(2003)* Eisner proposes learning a mapping between two trees that need not have the same shape. The model is a synchronous tree substitution grammar (STSG): a set of pairs of elementary trees, each pair with a state for every open position, which combine into a pair of derived trees. He gives a probabilistic form, a tree… ## Co-authors (2) - [David Smith](https://md.research.elamur.ai/free/en/authors/david-smith/) - Dingquan Wang ## More papers in the library (6) Pages of the Research library: our summary, the ideas, references and who cites each. - [Contrastive Decoding: Open-ended Text Generation as Optimization](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/) — Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al. · 2022 - [Learning How to Ask: Querying LMs with Mixtures of Soft Prompts](https://md.research.elamur.ai/free/en/papers/qin-2021-learning-ask-querying-lms-mixtures/) — Guanghui Qin, Jason Eisner · 2021 - [Task-Oriented Dialogue as Dataflow Synthesis](https://md.research.elamur.ai/free/en/papers/andreas-2020-task-oriented-dialogue-as-dataflow/) — Jacob Andreas, John Bufe, David Burkett, et al. · 2020 - [Easy-first Coreference Resolution](https://md.research.elamur.ai/free/en/papers/stoyanov-2012-easy-first-coreference-resolution/) — Veselin Stoyanov, Jason Eisner · 2012 - [Using “Annotator Rationales” to Improve Machine Learning for Text Categorization](https://md.research.elamur.ai/free/en/papers/zaidan-2007-annotator-rationales-improve-machine-learning/) — Omar Zaidan, Jason Eisner, Christine Piatko · 2007 - [Contrastive Estimation: Training Log-Linear Models on Unlabeled Data](https://md.research.elamur.ai/free/en/papers/smith-2005-contrastive-estimation-training-log-linear/) — Noah A. Smith, Jason Eisner · 2005