Marco
turchi
My
Research
My
current research
is centered on sequence-to-sequence neural methods for
Neural Machine Translation applied to develop innovative
solutions for the translation industry. My
recent works
involve the development of neural machine translation
and automatic post-editing systems that are able to
continuously learning from human feedback.
Before
embracing the MT world, I focused my research on
information
extraction, retrieval and organization from text
documents, using several machine learning
(probabilistic and statistical) approaches. I also
analyzed different
aspects of text/web mining moving from classical text
problems as supervised and unsupervised learning, or
new representation for
text document to more computational linguistic tasks,
as statistical machine translation and document
summarization.
keywords
Neural
Machine Translation (NMT)
- Improving Input Representation.
- Continuous Learning for NMT.
- Multi-lingual NMT.
- Contextual Handling for Text
Translation.
- Automatic Post-Editing.
- ...
Statistical
Machine Translation (SMT)
- Improving Translation Quality in News domain.
- Learning Curves of SMT systems.
- Confidence Estimation.
- Parallel Sentences Extraction
from the Web.
- Self-Learning for SMT systems.
- Hybrid system.
- ...
Natural
Language Processing and Text/Web Mining:
- Feature selection.
- Text classification.
- Integration of semantic in text
classification.
- Detection of content in text
documents.
- Clustering techniques.
- Semi-supervised clustering
algorithms.
- Soft-clustering.
- Active learning algorithms for
text classification.
- Time series analysis of textual
data.
-
Detection of text pattern into text documents.
- Extraction and analysis of
multilingual text content.
- Document Summarization.
- ...
Machine
Learning:
-
Smoothing techniques for parameter estimation.
- Regression
and classification algorithms.
- Learning
curves.
- Kernel
methods - String Kernels.
- Graphical
Models.
- Robust
approaches for outlier detection.
- ...
Language evolution.
High Performance
Computing (HPC), large-scale dataset.
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df |
| Whiteboard: |
Some
links:
- Svm
- Support Vector Machine
- Kernel Methods for Pattern Analysis (here)
- PLS
- Partial Least Square
- Graphical Model (here)
- LDA
- Latent Dirichlet Allocation
- String Kernels (here)
NLP world:
- ACL
- Association for Computational Linguistics
- SMT
- Statistical Machine Translation
- Machine Translation Archive (here)
- EAMT
- European Association for Machine Translation
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