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Ann Irvine
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2010 – 2019
- 2017
- [j5]Ann Irvine, Chris Callison-Burch:
A Comprehensive Analysis of Bilingual Lexicon Induction. Comput. Linguistics 43(2): 273-310 (2017) - [i1]Ann Irvine, Mark Dredze:
Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order. CoRR abs/1702.05793 (2017) - 2016
- [j4]Ann Irvine, Chris Callison-Burch:
End-to-end statistical machine translation with zero or small parallel texts. Nat. Lang. Eng. 22(4): 517-548 (2016) - 2014
- [j3]Ellie Pavlick, Matt Post, Ann Irvine, Dmitry Kachaev, Chris Callison-Burch:
The Language Demographics of Amazon Mechanical Turk. Trans. Assoc. Comput. Linguistics 2: 79-92 (2014) - [c15]Ann Irvine, Chris Callison-Burch:
Hallucinating Phrase Translations for Low Resource MT. CoNLL 2014: 160-170 - [c14]Ann Irvine, Joshua Langfus, Chris Callison-Burch:
The American Local News Corpus. LREC 2014: 1305-1308 - [c13]Ann Irvine, Chris Callison-Burch:
Using Comparable Corpora to Adapt MT Models to New Domains. WMT@ACL 2014: 437-444 - 2013
- [j2]Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III, Dragos Stefan Munteanu:
Measuring Machine Translation Errors in New Domains. Trans. Assoc. Comput. Linguistics 1: 429-440 (2013) - [c12]Marine Carpuat, Hal Daumé III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi, Rachel Rudinger
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SenseSpotting: Never let your parallel data tie you to an old domain. ACL (1) 2013: 1435-1445 - [c11]Ann Irvine, Chris Quirk, Hal Daumé III:
Monolingual Marginal Matching for Translation Model Adaptation. EMNLP 2013: 1077-1088 - [c10]Ruth Jones, Ann Irvine:
The (Un)faithful Machine Translator. LaTeCH@ACL 2013: 96-101 - [c9]Ann Irvine:
Statistical Machine Translation in Low Resource Settings. HLT-NAACL 2013: 54-61 - [c8]Ann Irvine, Chris Callison-Burch:
Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals. HLT-NAACL 2013: 518-523 - [c7]Ann Irvine, Darakhshan Mir, Michael Hay:
How PhD students at research universities can prepare for a career at a liberal arts college (abstract only). SIGCSE 2013: 752 - [c6]Ann Irvine, Chris Callison-Burch:
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation. WMT@ACL 2013: 262-270 - 2012
- [c5]Ann Irvine, Laure Marcellesi, Afra Zomorodian:
Digitizing 18th-Century French Literature: Comparing transcription methods for a critical edition text. CLfL@NAACL-HLT 2012: 64-68 - 2011
- [c4]Jason Riesa, Ann Irvine, Daniel Marcu:
Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation. EMNLP 2011: 497-507 - 2010
- [j1]Ann Irvine, Mike Kayser, Zhifei Li, Wren N. G. Thornton, Chris Callison-Burch:
Integrating Output from Specialized Modules in Machine TranslationTransliterations in Joshua. Prague Bull. Math. Linguistics 93: 107-116 (2010) - [c3]Ann Irvine, Chris Callison-Burch, Alexandre Klementiev:
Transliterating From All Languages. AMTA 2010 - [c2]Ann Irvine, Alexandre Klementiev:
Using Mechanical Turk to Annotate Lexicons for Less Commonly Used Languages. Mturk@HLT-NAACL 2010: 108-113 - [c1]Zhifei Li, Chris Callison-Burch, Chris Dyer, Juri Ganitkevitch, Ann Irvine, Sanjeev Khudanpur, Lane Schwartz, Wren N. G. Thornton, Ziyuan Wang, Jonathan Weese, Omar Zaidan:
Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies. WMT@ACL 2010: 133-137
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