Semantic annotations for conversational speech: From speech transcriptions to predicate argument structures. - Arianna Bisazza; Marco Dinarelli; Silvia Quarteroni; Sara Tonelli; Alessandro Moschitti; Giuseppe Riccardi (SLT, 2008)

FBK @ IWSLT 2009. - Nicola Bertoldi; Arianna Bisazza; Mauro Cettolo; Germán Sanchis-Trilles; Marcello Federico (IWSLT, 2009)

Morphological pre-processing for Turkish to English statistical machine translation. - Arianna Bisazza; Marcello Federico (IWSLT, 2009)

FBK @ IWSLT 2010. - Arianna Bisazza; Ioannis Klasinas; Mauro Cettolo; Marcello Federico (IWSLT, 2010)

Chunk-Based Verb Reordering in VSO Sentences for Arabic-English Statistical Machine Translation. - Arianna Bisazza; Marcello Federico (WMT@ACL, 2010)

FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk-Based Reordering. - Christian Hardmeier; Arianna Bisazza; Marcello Federico (WMT@ACL, 2010)

Fill-up versus interpolation methods for phrase-based SMT adaptation. - Arianna Bisazza; Nick Ruiz; Marcello Federico (IWSLT, 2011)

FBK @ IWSLT 2011. - Nick Ruiz; Arianna Bisazza; Fabio Brugnara; Daniele Falavigna; Diego Giuliani; Suhel Jaber; Roberto Gretter; Marcello Federico (IWSLT, 2011)

Modified Distortion Matrices for Phrase-Based Statistical Machine Translation. - Arianna Bisazza; Marcello Federico (ACL (1), 2012)

Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation. - Arianna Bisazza; Marcello Federico (EACL, 2012)

FBK's machine translation systems for IWSLT 2012's TED lectures. - Nicholas Ruiz; Arianna Bisazza; Roldano Cattoni; Marcello Federico (IWSLT, 2012)

Chunk-lattices for verb reordering in Arabic-English statistical machine translation - Special issues on machine translation for Arabic. - Arianna Bisazza; Daniele Pighin; Marcello Federico (Mach. Transl., 2012)

Efficient Solutions for Word Reordering in German-English Phrase-Based Statistical Machine Translation. - Arianna Bisazza; Marcello Federico (WMT@ACL, 2013)

Dynamically Shaping the Reordering Search Space of Phrase-Based Statistical Machine Translation. - Arianna Bisazza; Marcello Federico (Trans. Assoc. Comput. Linguistics, 2013)

Linguistically Motivated Reordering Modeling for Phrase-Based Statistical Machine Translation. - Arianna Bisazza (2013)

Class-Based Language Modeling for Translating into Morphologically Rich Languages. - Arianna Bisazza; Christof Monz (COLING, 2014)

Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks. - Ke M. Tran; Arianna Bisazza; Christof Monz (EMNLP, 2014)

What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. - Marlies van der Wees; Arianna Bisazza; Wouter Weerkamp; Christof Monz (ACL (2), 2015)

Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text. - Marlies van der Wees; Arianna Bisazza; Christof Monz (NUT@IJCNLP, 2015)

Translation Model Adaptation Using Genre-Revealing Text Features. - Marlies van der Wees; Arianna Bisazza; Christof Monz (DiscoMT@EMNLP, 2015)

A distributed inflection model for translating into morphologically rich languages. - Ke M. Tran; Arianna Bisazza; Christof Monz (MTSummit, 2015)

A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation. - Marlies van der Wees; Arianna Bisazza; Christof Monz (NUT@COLING, 2016)

Measuring the Effect of Conversational Aspects on Machine Translation Quality. - Marlies van der Wees; Arianna Bisazza; Christof Monz (COLING, 2016)

Neural versus Phrase-Based Machine Translation Quality: a Case Study. - Luisa Bentivogli; Arianna Bisazza; Mauro Cettolo; Marcello Federico (EMNLP, 2016)

Recurrent Memory Networks for Language Modeling. - Ke M. Tran; Arianna Bisazza; Christof Monz (HLT-NAACL, 2016)

A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena. - Arianna Bisazza; Marcello Federico (Comput. Linguistics, 2016)

Recurrent Memory Network for Language Modeling. - Ke M. Tran; Arianna Bisazza; Christof Monz (CoRR, 2016)

Learning Topic-Sensitive Word Representations. - Marzieh Fadaee; Arianna Bisazza; Christof Monz (ACL (2), 2017)

Data Augmentation for Low-Resource Neural Machine Translation. - Marzieh Fadaee; Arianna Bisazza; Christof Monz (ACL (2), 2017)

Dynamic Data Selection for Neural Machine Translation. - Marlies van der Wees; Arianna Bisazza; Christof Monz (EMNLP, 2017)

Keynote: Unveiling the Linguistic Weaknesses of Neural MT. - Arianna Bisazza (AMTA (1), 2018)

The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation. - Arianna Bisazza; Clara Tump (EMNLP, 2018)

Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages? - Prajit Dhar; Arianna Bisazza (BlackboxNLP@EMNLP, 2018)

The importance of Being Recurrent for Modeling Hierarchical Structure. - Ke M. Tran; Arianna Bisazza; Christof Monz (EMNLP, 2018)

Examining the Tip of the Iceberg: A Data Set for Idiom Translation. - Marzieh Fadaee; Arianna Bisazza; Christof Monz (LREC, 2018)

Evaluation of Machine Translation Performance Across Multiple Genres and Languages. - Marlies van der Wees; Arianna Bisazza; Christof Monz (LREC, 2018)

Neural versus phrase-based MT quality: An in-depth analysis on English-German and English-French. - Luisa Bentivogli; Arianna Bisazza; Mauro Cettolo; Marcello Federico (Comput. Speech Lang., 2018)

Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations. - Ke M. Tran; Arianna Bisazza (DeepLo@EMNLP-IJCNLP, 2019)

Compositionality in emerging multi-agent languages: Marrying Language Evolution and Natural Language Processing. - Kees Sommer; Jae Perris; Arianna Bisazza; Tessa Verhoef (CogSci, 2019)

BERTje: A Dutch BERT Model. - Wietse de Vries; Andreas van Cranenburgh; Arianna Bisazza; Tommaso Caselli; Gertjan van Noord; Malvina Nissim (CoRR, 2019)

UDapter: Language Adaptation for Truly Universal Dependency Parsing. - Ahmet Üstün; Arianna Bisazza; Gosse Bouma; Gertjan van Noord (EMNLP (1), 2020)

Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen's Submission to WMT-2020. - Prajit Dhar; Arianna Bisazza; Gertjan van Noord (WMT@EMNLP, 2020)

Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. - Chunliu Wang; Rik van Noord; Arianna Bisazza; Johan Bos (ACL/IJCNLP (2), 2021)

Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages. - Prajit Dhar; Arianna Bisazza; Gertjan van Noord (WAT@ACL/IJCNLP, 2021)

The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning. - Yuchen Lian; Arianna Bisazza; Tessa Verhoef (EMNLP (1), 2021)

Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks. - Prajit Dhar; Arianna Bisazza (NoDaLiDa, 2021)

On the Difficulty of Translating Free-Order Case-Marking Languages. - Arianna Bisazza; Ahmet Üstün; Stephan Sportel (Trans. Assoc. Comput. Linguistics, 2021)

InDeep $ times$ NMT: Empowering Human Translators via Interpretable Neural Machine Translation. - Gabriele Sarti; Arianna Bisazza (EAMT, 2022)

DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages. - Gabriele Sarti; Arianna Bisazza; Ana Guerberof Arenas; Antonio Toral (EMNLP, 2022)

Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer. - Ahmet Üstün; Arianna Bisazza; Gosse Bouma; Gertjan van Noord; Sebastian Ruder (EMNLP, 2022)

Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages. - Prajit Dhar; Arianna Bisazza; Gertjan van Noord (LREC, 2022)

UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling. - Ahmet Üstün; Arianna Bisazza; Gosse Bouma; Gertjan van Noord (Comput. Linguistics, 2022)

The importance of communicative success for simulating the emergence of a Word Order/Case Marking trade-off with Neural Agents. - Yuchen Lian; Arianna Bisazza; Tessa Verhoef (CogSci, 2023)

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. - Jirui Qi; Raquel Fernández; Arianna Bisazza (EMNLP, 2023)

Wave to Syntax: Probing spoken language models for syntax. - Gaofei Shen; Afra Alishahi; Arianna Bisazza; Grzegorz Chrupala (INTERSPEECH, 2023)

Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German. - Xiulin Yang; Jingyan Chen; Arjan van Eerden; Ahnaf Mozib Samin; Arianna Bisazza (NoDaLiDa, 2023)

Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off. - Yuchen Lian; Arianna Bisazza; Tessa Verhoef (Trans. Assoc. Comput. Linguistics, 2023)

EurekaRebus - Verbalized Rebus Solving with LLMs: A CALAMITA Challenge. - Gabriele Sarti; Tommaso Caselli; Arianna Bisazza; Malvina Nissim (CLiC-it, 2024)

Non Verbis, Sed Rebus: Large Language Models Are Weak Solvers of Italian Rebuses. - Gabriele Sarti; Tommaso Caselli; Malvina Nissim; Arianna Bisazza (CLiC-it, 2024)

Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization. - Yuqing Zhang; Tessa Verhoef; Gertjan van Noord; Arianna Bisazza (LREC/COLING, 2024)

The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. - Xinyi Chen; Baohao Liao; Jirui Qi; Panagiotis Eustratiadis; Christof Monz; Arianna Bisazza; Maarten de Rijke (EMNLP (Findings), 2024)

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation. - Jirui Qi; Gabriele Sarti; Raquel Fernández; Arianna Bisazza (EMNLP, 2024)

Quantifying the Plausibility of Context Reliance in Neural Machine Translation. - Gabriele Sarti; Grzegorz Chrupala; Malvina Nissim; Arianna Bisazza (ICLR, 2024)

Encoding of lexical tone in self-supervised models of spoken language. - Gaofei Shen; Michaela Watkins; Afra Alishahi; Arianna Bisazza; Grzegorz Chrupala (NAACL-HLT, 2024)

Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit. - Gabriele Sarti; Nils Feldhus; Jirui Qi; Malvina Nissim; Arianna Bisazza (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

A Primer on the Inner Workings of Transformer-based Language Models. - Javier Ferrando; Gabriele Sarti; Arianna Bisazza; Marta R. Costa-jussà (CoRR, 2024)

MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs. - Vera Neplenbroek; Arianna Bisazza; Raquel Fernández (CoRR, 2024)

NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication. - Yuchen Lian; Tessa Verhoef; Arianna Bisazza (CoRR, 2024)

Likelihood as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2024)

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency. - Akari Haga; Akiyo Fukatsu; Miyu Oba; Arianna Bisazza; Yohei Oseki (CoRR, 2024)

Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation. - Lukas Edman; Gabriele Sarti; Antonio Toral; Gertjan van Noord; Arianna Bisazza (Trans. Assoc. Comput. Linguistics, 2024)

Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation. - Vera Neplenbroek; Arianna Bisazza; Raquel Fernández (ACL (Findings), 2025)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (NAACL (Long Papers), 2025)

Simulating the Emergence of Differential Case Marking with Communicating Neural-Network Agents. - Yuchen Lian; Arianna Bisazza; Tessa Verhoef (CoRR, 2025)

QE4PE: Word-level Quality Estimation for Human Post-Editing. - Gabriele Sarti; Vilém Zouhar; Grzegorz Chrupala; Ana Guerberof Arenas; Malvina Nissim; Arianna Bisazza (CoRR, 2025)

On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation. - Jirui Qi; Raquel Fernández; Arianna Bisazza (CoRR, 2025)

MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs. - Jaap Jumelet; Leonie Weissweiler; Arianna Bisazza (CoRR, 2025)

On the reliability of feature attribution methods for speech classification. - Gaofei Shen; Hosein Mohebbi; Arianna Bisazza; Afra Alishahi; Grzegorz Chrupala (CoRR, 2025)

Reading Between the Prompts: How Stereotypes Shape LLM's Implicit Personalization. - Vera Neplenbroek; Arianna Bisazza; Raquel Fernández (CoRR, 2025)

Steering Large Language Models for Machine Translation Personalization. - Daniel Scalena; Gabriele Sarti; Arianna Bisazza; Elisabetta Fersini; Malvina Nissim (CoRR, 2025)

When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy. - Jirui Qi; Shan Chen; Zidi Xiong; Raquel Fernández; Danielle S. Bitterman; Arianna Bisazza (CoRR, 2025)

Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement. - Gabriele Sarti; Vilém Zouhar; Malvina Nissim; Arianna Bisazza (CoRR, 2025)

Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models. - Francesca Padovani; Jaap Jumelet; Yevgen Matusevych; Arianna Bisazza (CoRR, 2025)

TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs. - Ezgi Basar; Francesca Padovani; Jaap Jumelet; Arianna Bisazza (CoRR, 2025)