Samuel Larkin
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    • MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants
    • NRC Systems for the WMT2025-LRSL Shared Task
    • Challenges in Technical Regulatory Text Variation Detection
    • Speech Generation for Indigenous Language Education
    • MSLC24 Submissions to the General Machine Translation Task
    • MSLC24: Further Challenges for Metrics on a Wide Landscape of Translation Quality
    • Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems
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    • Metric Score Landscape Challenge (MSLC23): Understanding Metrics′ Performance on a Wider Landscape of Translation Quality
    • Long to reign over us: A Case Study of Machine Translation and a New Monarch
    • Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard
    • NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021
    • Like Chalk and Cheese? On the Effects of Translationese in MT Training
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    • Machine Translation Reference-less Evaluation using YiSi-2 with Bilingual Mappings of Massive Multilingual Language Model
    • NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications
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    • An example preprint / working paper
    • Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task
    • Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task
    • EuroGames16: Evaluating Change Detection in Online Conversation
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    • Incorporating Knowledge of Source Language Text in a System for Dictation of Document Translations
    • PortageLive: delivering machine translation technology via virtualization
    • Tightly Packed Tries: How to Fit Large Models into Memory, and Make them Load Fast, Too
    • PORTAGE in the NIST 2009 MT Evaluation
    • NRC`s PORTAGE System for WMT 2007
    • Manageable Phrase-based Statistical Machine Translation Models with Pseudo-code and Proofs
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Tightly Packed Tries: How to Fit Large Models into Memory, and Make them Load Fast, Too

Jun 1, 2009·
Ulrich Germann
,
Eric Joanis
,
Samuel Larkin
· 0 min read
PDF Cite ACL Anthology
Last updated on Jun 1, 2009
SMT
← PortageLive: delivering machine translation technology via virtualization Aug 1, 2009
PORTAGE in the NIST 2009 MT Evaluation Jan 1, 2009 →

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