Research

My scientific contributions can be divided into three areas of applied computational linguistics:

Cross-Lingual NLP including Annotation Projection and Machine Translation:

• Natural language understanding with cross-lingual grounding (FoTran)
• Multimodal machine translation (MeMAD)
• Parallel corpora and machine translation for Finnish and Swedish (fiskmö)
• Annotation projection and cross-lingual transfer models
• Discourse-oriented machine translation (DiscoMT)
• Feature-rich discriminative word alignment (the clue alignment approach)
• Public software for processing parallel corpora and treebanks (Uplug, Lingua-Align)
• Extensive collection of freely available parallel corpora (OPUS)
• Work with rule-based and hybrid machine translation (PLUG, MATS, KOMA), example-based MT (PaCoMT), statistical MT (LetsMT!), research on phrase-based, syntax-based and character-level SMT

Induction of Lexical Information:

• Word alignment for extracting multilingual lexical knowledge (PLUG, MATS, KOMA)
• Extraction of domain-specific terminology (Scania)
• Identification of idiomatic expressions from aligned parallel corpora
• Extraction of lexico-semantic relations in various languages and domains (IMIX)

Question Answering and Information Retrieval (IMIX):

• Linguistic features in passage retrieval for question answering
• Genetic algorithms for the optimization of feature-rich information retrieval
• Dutch and cross-lingual question answering using dependency relations

For more information look at my list of publications and projects I was involved in.