Vignesh Raja

Natural Language Processing · 2015

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

• Natural Language Processing — 10 citations into it

Whom Vignesh Raja trusts

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

1. Philipp Koehn (in Natural Language Processing)
2. Slava M. Katz (in Speech & Audio)

Papers from Vignesh Raja's perspective

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

1. An Empirical Study of Smoothing Techniques for Language Modeling
2. Europarl: A Parallel Corpus for Statistical Machine Translation
3. Moses: Open Source Toolkit for Statistical Machine Translation
4. Minimum Error Rate Training in Statistical Machine Translation
5. Estimation of probabilities from sparse data for the language model component of a speech recognizer
6. Scalable Modified Kneser-Ney Language Model Estimation
7. The Stanford CoreNLP Natural Language Processing Toolkit
8. Parsing with Compositional Vector Grammars
9. Unsupervised models for morpheme segmentation and morphology learning (TSLP)
10. Clause Restructuring for Statistical Machine Translation

Their papers

• The University of Illinois submission to the WMT 2015 Shared Translation Task (2015)