Multilingual NLP
Native-like quality, preference modelling and evaluation of large language models across dozens of language varieties.
Working at the intersection of multilingual NLP, machine translation and the linguistic foundations of large language models — from rigorous evaluation across 47 languages to production-grade AI for global content.
A practice that spans enterprise AI translation, computational-linguistics research, education and continuing study across DeepLearning.AI, Coursera and Udacity.
I build and study language technologies that work across cultures and languages. My research has appeared at ICLR, LREC and CLiC-it; my engineering practice lives inside enterprise AI translation at RWS Group. I'm equally interested in the empirical behaviour of transformer models and in the linguistic structures — from Shakespeare's sonnets to Italian poetry — that reveal what these systems actually learn.
At RWS Group I work on AI translation and multilingual language technology — including the research that became MENLO, our ICLR 2026 framework for native-like quality evaluation across 47 language varieties.
My research lineage runs through Italian computational linguistics — work on Shakespeare's sonnets, BERT's behaviour on Italian poetry, and the role of frequency versus linguistic structure inside transformer embeddings (LREC, CLiC-it, BINLP, IJNLC, MDPI). With Belén Agulló García I co-founded the AI Localization Think Tank.
The work I value most is quiet, precise and rigorous — at the boundary between language, mathematics and engineering craft.
Multilingual NLP, LLM evaluation across 47 languages, reward modelling and the linguistic structures that transformer models actually learn.
AI translation and language solutions at RWS Group — bringing research into reliable, production-grade multilingual systems.
Co-founder of the AI Localization Think Tank — a forum for honest conversations about AI, translation quality and the future of multilingual content.
Teaching at Le Wagon, mentorship in applied NLP, and continuing study via DeepLearning.AI, Coursera and Udacity. Italian teaching qualification (24 CFU).
A connected set of problems I return to across academic and industrial work — chosen for their depth, leverage and long horizon.
Native-like quality, preference modelling and evaluation of large language models across dozens of language varieties.
AI translation systems for enterprise content — from neural MT to LLM-based translation, post-editing and quality estimation.
Audience-design inspired rubrics, RL-trained judges and reward models for scalable, calibrated multilingual evaluation.
Lexical, syntactic and semantic predictability — what transformer models reveal about how language is actually structured.
Sound-sense harmony, irony and appraisal in literary corpora — Shakespeare's sonnets and 20th-century Italian poetry.
Bringing research into production — workflows where AI augments human linguists rather than replacing the craft.
Trust, cultural fidelity and the question of what counts as native-like quality in machine-generated text.
A trajectory across enterprise language solutions, applied AI, computational-linguistics research and education — currently at RWS Group.
Working on AI translation and multilingual language technology at one of the world's largest language solutions companies — including research that contributed to MENLO, our framework for native-like quality evaluation across 47 languages (ICLR 2026).
Co-founded a community and research forum, with Belén Agulló García (Ph.D.), exploring how AI is reshaping localization, translation quality and the practice of multilingual content at scale.
Teaching and mentorship within the Le Wagon ecosystem — bringing applied AI and NLP practice to a community of new engineers entering the industry.
A continuing line of computational-linguistics research with the SPARSAR group: irony detection in Shakespeare's sonnets, predictability in Italian poetry, and the linguistic limits of deep models. Published at LREC, CLiC-it, BINLP and IJNLC.
Italian formal teaching qualification (24 CFU) — completed alongside research and engineering practice, reflecting a continuing commitment to education and pedagogy.
From MENLO's 47-language preference dataset to early SPARSAR work on Shakespeare's sonnets — the projects that anchor the publications opposite.
From Preferences to Proficiency. A framework that operationalises native-like response quality for LLMs across 47 language varieties — including a 6,423-pair preference dataset and RL-trained generative reward models. Published at ICLR 2026.
Multidimensional visualisation of sound-sense harmony for Shakespeare's sonnets — a computational-stylistics approach to literary classification, published in MDPI Applied Sciences (2024).
A series of stress tests probing BERT's predictability of lexical, syntactic and semantic structures — across canonical and non-canonical Italian poetry. Published in IJNLC and at BINLP 2022.
An LREC 2022 study showing how absolute and relative frequency conspire inside transformer embeddings — and how linguistic features outperform pure cosine distance for similarity.
Two CLiC-it 2019 contributions on annotating Shakespeare's sonnets with Appraisal Theory and detecting irony with the SPARSAR system — early computational work on rhetorical structure.
Applied work inside RWS Group's enterprise AI translation stack — the practical counterpart to the research above, bringing multilingual model quality to production content workflows.
A curated subset of recent work. Full publication record available on Google Scholar and ORCID.
A continuing thread across my work — sharing rigorous practice with students, leaders and fellow practitioners.
A community and research forum exploring how AI is reshaping localization, translation quality and the practice of multilingual content.
Teaching and mentorship inside one of Europe's leading coding bootcamps — bringing applied AI and NLP into the hands of new engineers.
Formal Italian teaching qualification, reflecting a long-standing commitment to education alongside research and engineering practice.
Talks and workshops on machine translation, multilingual evaluation and the future of human-AI collaboration in language work.
One-to-one mentorship for researchers and engineers transitioning into AI / NLP roles in industry.
Advisory engagements on multilingual AI, machine translation pipelines, evaluation frameworks and the integration of LLMs into language workflows.
Available as a PDF for hiring committees, programme chairs and conference organisers.
Includes complete publication list, talks, supervision and service.
Download PDFA continuing line of research collaboration on computational stylistics, BERT/transformer analysis and Italian-language NLP — published at LREC, CLiC-it, BINLP, IJNLC and MDPI Applied Sciences.
Formal qualification for teaching at the Italian secondary level.
For research collaborations, advisory engagements, teaching invitations or thoughtful conversations.
Reviewing proposals for advisory engagements starting Q3. Reply within 3 working days.
Central European Time · Italy · Veneto