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Learning a Lexicon and Translation Model from Phoneme Lattices.

, , , , , and . EMNLP, page 2377-2382. The Association for Computational Linguistics, (2016)

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Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation., , , , , and . LREC, European Language Resources Association (ELRA), (2018)ITTC @ TREC 2021 Clinical Trials Track., , , , , , , , and . TREC, volume 500-335 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2021)Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression., and . AAAI, page 2203-2209. AAAI Press, (2015)Data selection for discriminative training in statistical machine translation., , and . EAMT, page 45-52. European Association for Machine Translation, (2014)Cross-Lingual Word Embeddings for Low-Resource Language Modeling., , , , and . EACL (1), page 937-947. Association for Computational Linguistics, (2017)Multilingual Training of Crosslingual Word Embeddings., , , , and . EACL (1), page 894-904. Association for Computational Linguistics, (2017)Word Lattices for Multi-Source Translation., , and . EACL, page 719-727. The Association for Computer Linguistics, (2009)Language models are not naysayers: an analysis of language models on negation benchmarks., , , and . *SEM@ACL, page 101-114. Association for Computational Linguistics, (2023)Sequence Effects in Crowdsourced Annotations., , and . EMNLP, page 2860-2865. Association for Computational Linguistics, (2017)Evaluating the Utility of Hand-crafted Features in Sequence Labeling., , and . EMNLP, page 2850-2856. Association for Computational Linguistics, (2018)