Lieve Macken

Natural Language Processing · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lieve Macken trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jörg Tiedemann
  2. Matthew G. Snover
  3. Leo Breiman
  4. Marcello Federico
  5. Kenneth Heafield
  6. Stanley F. Chen
  7. Bonnie J. Dorr
  8. Chih-Jen Lin

Papers from Lieve Macken's perspective

Ordered by how strongly the researchers Lieve Macken trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Empirical Study of Smoothing Techniques for Language Modeling
  2. A Study of Translation Edit Rate with Targeted Human Annotation
  3. Findings of the 2013 Workshop on Statistical Machine Translation
  4. LIBSVM: A library for support vector machines
  5. KenLM: Faster and Smaller Language Model Queries
  6. Parallel Data, Tools and Interfaces in OPUS
  7. IRSTLM: an open source toolkit for handling large scale language models
  8. Findings of the 2014 Workshop on Statistical Machine Translation
  9. A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION
  10. Scikit-learn: Machine Learning in Python

Their papers