Marcello Federico
- Artificial Intelligence top 0.05%
- Natural Language Processing Techniques 158
- Topic Modeling 134
- Speech Recognition and Synthesis 49
- Speech and dialogue systems 30
- Text Readability and Simplification 23
- Algorithms and Data Compression 21
- Semantic Web and Ontologies 12
-
- Multimodal Machine Learning Applications 12
- Language and Linguistics top 1%
- Signal Processing top 2%
- Information Systems top 2%
- Co-authors
- Nicola BertoldiMauro CettoloRichard ZensPhilipp KoehnWade ShenHieu HoangOndřej BojarChris Dyer
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Signal Processing Magazine (1 paper)IEEE Transactions on Audio Speech and Language Processing (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marcello Federico
174 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 7.4k
- Computer Vision and Pattern Recognition 1.4k
- Language and Linguistics 358
- Signal Processing 260
- Information Systems 409
Countries citing papers authored by Marcello Federico
This map shows the geographic impact of Marcello Federico's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcello Federico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Federico more than expected).
Fields of papers citing papers by Marcello Federico
This network shows the impact of papers produced by Marcello Federico. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcello Federico. The network helps show where Marcello Federico may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcello Federico, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation | 2018 | 22 |
| 3 | 2017 | 46 | |
| 4 | 2016 | 168 | |
| 5 | Assessing the impact of speech recognition errors on machine translation quality | 2014 | 8 |
| 6 | The repetition rate of text as a predictor of the effectiveness of machine translation adaptation | 2014 | 6 |
| 7 | MT-EQuAl: a Toolkit for Human Assessment of Machine Translation Output | 2014 | 9 |
| 8 | Coping with the Subjectivity of Human Judgements in MT Quality Estimation | 2013 | 22 |
| 9 | Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation | 2012 | 11 |
| 10 | FBK's Machine Translation Systems for IWSLT 2012's TED Lectures | 2012 | 2 |
| 11 | Practical Domain Adaptation in SMT | 2012 | 1 |
| 12 | Evaluating the Learning Curve of Domain Adaptive Statistical Machine Translation Systems | 2012 | 8 |
| 13 | Measuring User Productivity in Machine Translation Enhanced Computer Assisted Translation | 2012 | 43 |
| 14 | FBK @ IWSLT 2011. | 2011 | 4 |
| 15 | FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk-Based Reordering | 2010 | 12 |
| 16 | Chunk-Based Verb Reordering in VSO Sentences for Arabic-English Statistical Machine Translation | 2010 | 10 |
| 17 | Shallow-Syntax Phrase-Based Translation: Joint versus Factored String-to-Chunk Models | 2008 | 1 |
| 18 | FBK @ IWSLT-2008. | 2008 | 2 |
| 19 | FBK@IWSLT 2007. | 2007 | 3 |
| 20 | Overview of the IWSLT04 Evaluation Campaign | 2004 | 48 |
About Marcello Federico
Marcello Federico is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 182 papers that have together received 7.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (158 papers), Topic Modeling (134 papers), Speech Recognition and Synthesis (49 papers), Speech and dialogue systems (30 papers), Text Readability and Simplification (23 papers), Algorithms and Data Compression (21 papers), Semantic Web and Ontologies (12 papers) and Multimodal Machine Learning Applications (12 papers). The work is most often cited by research in Artificial Intelligence (7.4k citations), Computer Vision and Pattern Recognition (1.4k citations) and Language and Linguistics (358 citations). Marcello Federico has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Nicola Bertoldi, Mauro Cettolo, Richard Zens, Philipp Koehn, Wade Shen, Hieu Hoang, Ondřej Bojar, Chris Dyer, Evan Herbst and Brooke Cowan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and IEEE Transactions on Audio Speech and Language Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.