Daniele Falavigna

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniele Falavigna trusts

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

  1. Franz Joseph Och (in Artificial Intelligence)
  2. Christoph Tillmann (in Artificial Intelligence)

Papers from Daniele Falavigna's perspective

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

  1. Minimum Error Rate Training in Statistical Machine Translation
  2. Moses: Open Source Toolkit for Statistical Machine Translation
  3. A Simple and Effective Hierarchical Phrase Reordering Model
  4. A Unigram Orientation Model for Statistical Machine Translation (North American Chapter of the Association for Computational Linguistics)
  5. IRSTLM: an open source toolkit for handling large scale language models
  6. Automatic Tagging of Arabic Text: From Raw Text to Base Phrase Chunks (North American Chapter of the Association for Computational Linguistics)
  7. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Statistical Phrase-Based Translation
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers