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Arianna Bisazza
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2020 – today
- 2024
- [j9]Lukas Edman, Gabriele Sarti
, Antonio Toral
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation. Trans. Assoc. Comput. Linguistics 12: 392-410 (2024) - [j8]Lukas Edman, Gabriele Sarti, Antonio Toral, Gertjan van Noord, Arianna Bisazza:
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation. Trans. Assoc. Comput. Linguistics 12: 392-410 (2024) - [c51]Yuqing Zhang, Tessa Verhoef, Gertjan van Noord, Arianna Bisazza:
Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization. LREC/COLING 2024: 5819-5832 - [c50]Gabriele Sarti, Grzegorz Chrupala, Malvina Nissim, Arianna Bisazza:
Quantifying the Plausibility of Context Reliance in Neural Machine Translation. ICLR 2024 - [c49]Gaofei Shen, Michaela Watkins, Afra Alishahi, Arianna Bisazza, Grzegorz Chrupala:
Encoding of lexical tone in self-supervised models of spoken language. NAACL-HLT 2024: 4250-4261 - [c48]Gabriele Sarti, Nils Feldhus, Jirui Qi, Malvina Nissim, Arianna Bisazza:
Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 289-296 - [i27]Gaofei Shen, Michaela Watkins
Encoding of lexical tone in self-supervised models of spoken language. CoRR abs/2403.16865 (2024) - [i26]Javier Ferrando, Gabriele Sarti
A Primer on the Inner Workings of Transformer-based Language Models. CoRR abs/2405.00208 (2024) - [i25]Vera Neplenbroek, Arianna Bisazza, Raquel Fernández:
MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs. CoRR abs/2406.07243 (2024) - [i24]Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza:
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation. CoRR abs/2406.13663 (2024) - [i23]Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke:
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. CoRR abs/2406.19999 (2024) - [i22]Yuchen Lian, Tessa Verhoef, Arianna Bisazza:
NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication. CoRR abs/2407.13999 (2024) - [i21]Gabriele Sarti, Tommaso Caselli, Malvina Nissim, Arianna Bisazza:
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses. CoRR abs/2408.00584 (2024) - 2023
- [j7]Yuchen Lian, Arianna Bisazza, Tessa Verhoef
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off. Trans. Assoc. Comput. Linguistics 11: 1033-1047 (2023) - [c47]Yuchen Lian, Arianna Bisazza, Tessa Verhoef:
The importance of communicative success for simulating the emergence of a Word Order/Case Marking trade-off with Neural Agents. CogSci 2023 - [c46]Jirui Qi
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. EMNLP 2023: 10650-10666 - [c45]Gaofei Shen
Wave to Syntax: Probing spoken language models for syntax. INTERSPEECH 2023: 1259-1263 - [c44]Xiulin Yang, Jingyan Chen, Arjan van Eerden, Ahnaf Mozib Samin, Arianna Bisazza:
Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German. NoDaLiDa 2023: 92-102 - [i20]Yuchen Lian, Arianna Bisazza, Tessa Verhoef:
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off. CoRR abs/2301.13083 (2023) - [i19]Gaofei Shen, Afra Alishahi, Arianna Bisazza, Grzegorz Chrupala:
Wave to Syntax: Probing spoken language models for syntax. CoRR abs/2305.18957 (2023) - [i18]Gabriele Sarti
Quantifying the Plausibility of Context Reliance in Neural Machine Translation. CoRR abs/2310.01188 (2023) - [i17]Jirui Qi, Raquel Fernández, Arianna Bisazza:
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. CoRR abs/2310.10378 (2023) - 2022
- [j6]Ahmet Üstün, Arianna Bisazza, Gosse Bouma
UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling. Comput. Linguistics 48(3): 555-592 (2022) - [c43]Gabriele Sarti, Arianna Bisazza:
InDeep $\times$ NMT: Empowering Human Translators via Interpretable Neural Machine Translation. EAMT 2022: 311-312 - [c42]Gabriele Sarti
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages. EMNLP 2022: 7795-7816 - [c41]Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord, Sebastian Ruder:
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer. EMNLP 2022: 7934-7949 - [c40]Prajit Dhar
Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages. LREC 2022: 4933-4943 - [e2]Arianna Bisazza, Omri Abend:
Proceedings of the 25th Conference on Computational Natural Language Learning, CoNLL 2021, Online, November 10-11, 2021. Association for Computational Linguistics 2022 [contents] - [i16]Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord, Sebastian Ruder:
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer. CoRR abs/2205.12148 (2022) - [i15]Gabriele Sarti, Arianna Bisazza, Ana Guerberof Arenas, Antonio Toral:
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages. CoRR abs/2205.12215 (2022) - 2021
- [j5]Arianna Bisazza, Ahmet Üstün, Stephan Sportel
On the Difficulty of Translating Free-Order Case-Marking Languages. Trans. Assoc. Comput. Linguistics 9: 1233-1248 (2021) - [c39]Chunliu Wang, Rik van Noord
Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. ACL/IJCNLP (2) 2021: 767-775 - [c38]Prajit Dhar
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages. WAT@ACL/IJCNLP 2021: 181-190 - [c37]Yuchen Lian, Arianna Bisazza, Tessa Verhoef:
The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning. EMNLP (1) 2021: 10121-10129 - [c36]Prajit Dhar, Arianna Bisazza:
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks. NoDaLiDa 2021: 74-85 - [i14]Yuchen Lian, Arianna Bisazza, Tessa Verhoef:
The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning. CoRR abs/2104.07637 (2021) - [i13]Arianna Bisazza, Ahmet Üstün, Stephan Sportel:
On the Difficulty of Translating Free-Order Case-Marking Languages. CoRR abs/2107.06055 (2021) - 2020
- [c35]Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord:
UDapter: Language Adaptation for Truly Universal Dependency Parsing. EMNLP (1) 2020: 2302-2315 - [c34]Prajit Dhar, Arianna Bisazza, Gertjan van Noord:
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen's Submission to WMT-2020. WMT@EMNLP 2020: 126-133 - [e1]Mikel L. Forcada, André F. T. Martins, Helena Moniz, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof Arenas, Mary Nurminen, Lena Marg, Sara Fumega, Bruno Martins, Fernando Batista, Luísa Coheur, Carla Parra Escartín, Isabel Trancoso:
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, EAMT 2020, Lisboa, Portugal, November 3-5, 2020. European Association for Machine Translation 2020, ISBN 978-989-33-0589-8 [contents] - [i12]Prajit Dhar, Arianna Bisazza:
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks. CoRR abs/2003.14056 (2020) - [i11]Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord:
UDapter: Language Adaptation for Truly Universal Dependency Parsing. CoRR abs/2004.14327 (2020)
2010 – 2019
- 2019
- [c33]Ke M. Tran, Arianna Bisazza:
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations. DeepLo@EMNLP-IJCNLP 2019: 281-288 - [c32]Kees Sommer, Jae Perris, Arianna Bisazza, Tessa Verhoef:
Compositionality in emerging multi-agent languages: Marrying Language Evolution and Natural Language Processing. CogSci 2019: 3577 - [i10]Ke M. Tran, Arianna Bisazza:
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations. CoRR abs/1910.05479 (2019) - [i9]Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim:
BERTje: A Dutch BERT Model. CoRR abs/1912.09582 (2019) - 2018
- [j4]Luisa Bentivogli
Neural versus phrase-based MT quality: An in-depth analysis on English-German and English-French. Comput. Speech Lang. 49: 52-70 (2018) - [c31]Arianna Bisazza:
Keynote: Unveiling the Linguistic Weaknesses of Neural MT. AMTA (1) 2018 - [c30]Prajit Dhar
Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages? BlackboxNLP@EMNLP 2018: 374-377 - [c29]Arianna Bisazza, Clara Tump:
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation. EMNLP 2018: 2871-2876 - [c28]Ke M. Tran, Arianna Bisazza, Christof Monz:
The importance of Being Recurrent for Modeling Hierarchical Structure. EMNLP 2018: 4731-4736 - [c27]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. LREC 2018 - [c26]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Evaluation of Machine Translation Performance Across Multiple Genres and Languages. LREC 2018 - [i8]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. CoRR abs/1802.04681 (2018) - [i7]Ke M. Tran, Arianna Bisazza, Christof Monz:
The Importance of Being Recurrent for Modeling Hierarchical Structure. CoRR abs/1803.03585 (2018) - 2017
- [c25]Marzieh Fadaee
Learning Topic-Sensitive Word Representations. ACL (2) 2017: 441-447 - [c24]Marzieh Fadaee
Data Augmentation for Low-Resource Neural Machine Translation. ACL (2) 2017: 567-573 - [c23]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Dynamic Data Selection for Neural Machine Translation. EMNLP 2017: 1400-1410 - [i6]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Data Augmentation for Low-Resource Neural Machine Translation. CoRR abs/1705.00440 (2017) - [i5]Marzieh Fadaee, Arianna Bisazza, Christof Monz:
Learning Topic-Sensitive Word Representations. CoRR abs/1705.00441 (2017) - [i4]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Dynamic Data Selection for Neural Machine Translation. CoRR abs/1708.00712 (2017) - 2016
- [j3]Arianna Bisazza
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena. Comput. Linguistics 42(2): 163-205 (2016) - [c22]Marlies van der Wees, Arianna Bisazza, Christof Monz:
A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation. NUT@COLING 2016: 43-50 - [c21]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Measuring the Effect of Conversational Aspects on Machine Translation Quality. COLING 2016: 2571-2581 - [c20]Luisa Bentivogli
Neural versus Phrase-Based Machine Translation Quality: a Case Study. EMNLP 2016: 257-267 - [c19]Ke M. Tran, Arianna Bisazza, Christof Monz:
Recurrent Memory Networks for Language Modeling. HLT-NAACL 2016: 321-331 - [i3]Ke M. Tran, Arianna Bisazza, Christof Monz:
Recurrent Memory Network for Language Modeling. CoRR abs/1601.01272 (2016) - [i2]Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, Marcello Federico:
Neural versus Phrase-Based Machine Translation Quality: a Case Study. CoRR abs/1608.04631 (2016) - 2015
- [c18]Marlies van der Wees, Arianna Bisazza, Wouter Weerkamp, Christof Monz:
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. ACL (2) 2015: 560-566 - [c17]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text. NUT@IJCNLP 2015: 28-37 - [c16]Marlies van der Wees, Arianna Bisazza, Christof Monz:
Translation Model Adaptation Using Genre-Revealing Text Features. DiscoMT@EMNLP 2015: 132-141 - [c15]Ke M. Tran, Arianna Bisazza, Christof Monz:
A distributed inflection model for translating into morphologically rich languages. MTSummit 2015 - [i1]Arianna Bisazza, Marcello Federico:
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena. CoRR abs/1502.04938 (2015) - 2014
- [c14]Arianna Bisazza, Christof Monz:
Class-Based Language Modeling for Translating into Morphologically Rich Languages. COLING 2014: 1918-1927 - [c13]Ke M. Tran, Arianna Bisazza, Christof Monz:
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks. EMNLP 2014: 1676-1688 - 2013
- [b1]Arianna Bisazza:
Linguistically Motivated Reordering Modeling for Phrase-Based Statistical Machine Translation. University of Trento, Italy, 2013 - [j2]Arianna Bisazza, Marcello Federico:
Dynamically Shaping the Reordering Search Space of Phrase-Based Statistical Machine Translation. Trans. Assoc. Comput. Linguistics 1: 327-340 (2013) - [c12]Arianna Bisazza, Marcello Federico:
Efficient Solutions for Word Reordering in German-English Phrase-Based Statistical Machine Translation. WMT@ACL 2013: 440-451 - 2012
- [j1]Arianna Bisazza
Chunk-lattices for verb reordering in Arabic-English statistical machine translation - Special issues on machine translation for Arabic. Mach. Transl. 26(1-2): 85-103 (2012) - [c11]Arianna Bisazza, Marcello Federico:
Modified Distortion Matrices for Phrase-Based Statistical Machine Translation. ACL (1) 2012: 478-487 - [c10]Arianna Bisazza, Marcello Federico:
Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation. EACL 2012: 439-448 - [c9]Nicholas Ruiz, Arianna Bisazza, Roldano Cattoni, Marcello Federico:
FBK's machine translation systems for IWSLT 2012's TED lectures. IWSLT 2012: 61-68 - 2011
- [c8]Nick Ruiz, Arianna Bisazza, Fabio Brugnara, Daniele Falavigna, Diego Giuliani, Suhel Jaber, Roberto Gretter, Marcello Federico:
FBK @ IWSLT 2011. IWSLT 2011: 86-93 - [c7]Arianna Bisazza, Nick Ruiz, Marcello Federico:
Fill-up versus interpolation methods for phrase-based SMT adaptation. IWSLT 2011: 136-143 - 2010
- [c6]Arianna Bisazza, Ioannis Klasinas, Mauro Cettolo, Marcello Federico:
FBK @ IWSLT 2010. IWSLT 2010: 53-58 - [c5]Christian Hardmeier, Arianna Bisazza, Marcello Federico:
FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk-Based Reordering. WMT@ACL 2010: 88-92 - [c4]Arianna Bisazza, Marcello Federico:
Chunk-Based Verb Reordering in VSO Sentences for Arabic-English Statistical Machine Translation. WMT@ACL 2010: 235-243
2000 – 2009
- 2009
- [c3]Nicola Bertoldi, Arianna Bisazza, Mauro Cettolo, Germán Sanchis-Trilles, Marcello Federico:
FBK @ IWSLT 2009. IWSLT 2009: 37-44 - [c2]Arianna Bisazza, Marcello Federico:
Morphological pre-processing for Turkish to English statistical machine translation. IWSLT 2009: 129-135 - 2008
- [c1]Arianna Bisazza
Semantic annotations for conversational speech: From speech transcriptions to predicate argument structures. SLT 2008: 65-68
Coauthor Index
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last updated on 2024-10-25 21:18 CEST by the dblp team
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