H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 46 Citations 7,264 165 World Ranking 3367 National Ranking 24

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Natural language processing
  • Programming language

Stephan Vogel focuses on Artificial intelligence, Natural language processing, Machine translation, Example-based machine translation and Rule-based machine translation. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Web page, Information retrieval and Arabic. His work carried out in the field of Natural language processing brings together such families of science as Speech recognition and Translation.

His studies examine the connections between Speech recognition and genetics, as well as such issues in Language translation, with regards to Computational linguistics. His Translation research integrates issues from Word and Word error rate. His Machine translation research includes themes of Equivalence, Minification, Named entity, Transliteration and Bilingual dictionary.

His most cited work include:

  • HMM-based word alignment in statistical translation (810 citations)
  • Parallel Implementations of Word Alignment Tool (312 citations)
  • Accelerated DP based search for statistical translation. (197 citations)

What are the main themes of his work throughout his whole career to date?

Stephan Vogel mainly focuses on Artificial intelligence, Natural language processing, Machine translation, Speech recognition and Rule-based machine translation. Artificial intelligence is closely attributed to Arabic in his study. His work in the fields of Natural language processing, such as Language model, Word error rate, BLEU and Lexicon, overlaps with other areas such as Cache language model.

His studies in Machine translation integrate themes in fields like NIST and Machine learning. Stephan Vogel combines subjects such as Pronunciation, Context, Speech translation, Language translation and Text segmentation with his study of Speech recognition. His Translation research incorporates themes from Domain and Hidden Markov model.

He most often published in these fields:

  • Artificial intelligence (82.25%)
  • Natural language processing (72.78%)
  • Machine translation (63.91%)

What were the highlights of his more recent work (between 2013-2018)?

  • Artificial intelligence (82.25%)
  • Machine translation (63.91%)
  • Natural language processing (72.78%)

In recent papers he was focusing on the following fields of study:

Stephan Vogel mostly deals with Artificial intelligence, Machine translation, Natural language processing, Arabic and Speech recognition. The various areas that Stephan Vogel examines in his Artificial intelligence study include Machine learning, Computer vision and Pattern recognition. His research integrates issues of Domain, Translation and Phrase in his study of Machine translation.

The various areas that he examines in his Natural language processing study include Decoding methods and Word. The Word study combines topics in areas such as Transfer-based machine translation, Viterbi algorithm, Cross lingual and Rule-based machine translation. His Speech recognition study integrates concerns from other disciplines, such as Pronunciation, BLEU, Recognition system and Text segmentation.

Between 2013 and 2018, his most popular works were:

  • A complete KALDI recipe for building Arabic speech recognition systems (56 citations)
  • The AMARA Corpus: Building Parallel Language Resources for the Educational Domain (55 citations)
  • Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder (54 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Machine learning

Artificial intelligence, Machine translation, Arabic, Natural language processing and Speech recognition are his primary areas of study. Stephan Vogel focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Domain adaptation and Algorithm. His study in Machine translation is interdisciplinary in nature, drawing from both Domain and Translation.

Stephan Vogel interconnects Semantics, Language Morphology, Syntax and Concatenation in the investigation of issues within Translation. His Arabic research is multidisciplinary, incorporating perspectives in Recognition system and Scripting language. When carried out as part of a general Speech recognition research project, his work on Language model is frequently linked to work in Intelligent character recognition, therefore connecting diverse disciplines of study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

HMM-based word alignment in statistical translation

Stephan Vogel;Hermann Ney;Christoph Tillmann.
international conference on computational linguistics (1996)

1070 Citations

Parallel Implementations of Word Alignment Tool

Qin Gao;Stephan Vogel.
Software Engineering, Testing, and Quality Assurance for Natural Language Processing (2008)

402 Citations

Accelerated DP based search for statistical translation.

Christoph Tillmann;Stephan Vogel;Hermann Ney;A. Zubiaga.
conference of the international speech communication association (1997)

290 Citations

Interpreting BLEU/NIST Scores: How Much Improvement do We Need to Have a Better System?

Ying Zhang;Stephan Vogel;Alex Waibel.
language resources and evaluation (2004)

219 Citations

Active Learning and Crowd-Sourcing for Machine Translation

Vamshi Ambati;Stephan Vogel;Jaime G. Carbonell.
language resources and evaluation (2010)

197 Citations

The CMU Statistical Machine Translation System

Stephan Vogel;Ying Zhang;Fei Huang;Alicia Tribble.
(2003)

182 Citations

Adaptation of the Translation Model for Statistical Machine Translation based on Information Retrieval

Almut Silja Hildebrand;Matthias Eck;Stephan Vogel;Alex Waibel.
Proceedings of the 10th EAMT Conference: Practical applications of machine translation (2005)

171 Citations

Towards task recommendation in micro-task markets

Vamshi Ambati;Stephan Vogel;Jaime Carbonell.
national conference on artificial intelligence (2011)

143 Citations

Adaptive parallel sentences mining from web bilingual news collection

Bing Zhao;S. Vogel.
international conference on data mining (2002)

138 Citations

A DP-based Search Using Monotone Alignments in Statistical Translation

Christoph Tillmann;Stephan Vogel;Hermann Ney;Alex Zubiaga.
meeting of the association for computational linguistics (1997)

134 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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