D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 5,894 231 World Ranking 7421 National Ranking 18

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For sustained contributions to speech technology, especially in the provision of research in and resources for the Portuguese language

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Programming language
  • Speech recognition

Her main research concerns Artificial intelligence, Speech recognition, Natural language processing, Word and European Portuguese. A large part of her Artificial intelligence studies is devoted to Segmentation. Her Speech recognition research is multidisciplinary, incorporating perspectives in Punctuation and Support vector machine.

Her work deals with themes such as Social media, Microblogging and Line, which intersect with Natural language processing. The various areas that Isabel Trancoso examines in her Word study include Recall, Vocabulary, Language technology and Word error rate. Her Vocabulary study combines topics in areas such as Brazilian Portuguese and Portuguese.

Her most cited work include:

  • Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation (436 citations)
  • Two/Too Simple Adaptations of Word2Vec for Syntax Problems (307 citations)
  • Character-based Neural Machine Translation (213 citations)

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

Her primary areas of investigation include Speech recognition, Artificial intelligence, Natural language processing, European Portuguese and Portuguese. Her study brings together the fields of Vocabulary and Speech recognition. She combines subjects such as Machine learning, Task and Pattern recognition with her study of Artificial intelligence.

The concepts of her Natural language processing study are interwoven with issues in Principle of maximum entropy and Punctuation. Her European Portuguese research is multidisciplinary, relying on both Cognitive psychology and Brazilian Portuguese. Machine translation is often connected to Translation in her work.

She most often published in these fields:

  • Speech recognition (45.43%)
  • Artificial intelligence (43.53%)
  • Natural language processing (32.81%)

What were the highlights of her more recent work (between 2014-2021)?

  • Artificial intelligence (43.53%)
  • Natural language processing (32.81%)
  • Speech recognition (45.43%)

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

The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Speech recognition, European Portuguese and Task. Her work on Word and SemEval is typically connected to Order as part of general Artificial intelligence study, connecting several disciplines of science. Her work in the fields of Lexicon, Rule-based machine translation and Word error rate overlaps with other areas such as Quality.

She focuses mostly in the field of Speech recognition, narrowing it down to matters related to Spoken dialog systems and, in some cases, Feature. Her research in European Portuguese intersects with topics in Paralanguage, Cognitive psychology, Metadata, Discourse marker and Focus. Her Task research incorporates elements of Natural and Data science.

Between 2014 and 2021, her most popular works were:

  • Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation (436 citations)
  • Two/Too Simple Adaptations of Word2Vec for Syntax Problems (307 citations)
  • Character-based Neural Machine Translation (213 citations)

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

  • Artificial intelligence
  • Programming language
  • Machine learning

Isabel Trancoso mainly investigates Artificial intelligence, Natural language processing, Word, Task and Speech recognition. Her work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Function and Extension. The study incorporates disciplines such as Variable, Context, Native english and Phone in addition to Natural language processing.

Her work on SemEval and Word representation as part of general Word research is frequently linked to Character and Function, thereby connecting diverse disciplines of science. Her Task research incorporates themes from Domain, Natural, Cardinality and Data science. Her studies deal with areas such as Feature extraction and First language as well as Speech recognition.

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.

Best Publications

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

Wang Ling;Chris Dyer;Alan W Black;Isabel Trancoso.
empirical methods in natural language processing (2015)

621 Citations

The MediaMill TRECVID 2009 semantic video search engine

C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink.
Proceedings of the 7th TRECVID Workshop (2009)

432 Citations

Two/Too Simple Adaptations of Word2Vec for Syntax Problems

Wang Ling;Chris Dyer;Alan W. Black;Isabel Trancoso.
north american chapter of the association for computational linguistics (2015)

379 Citations

Character-based Neural Machine Translation

Wang Ling;Isabel Trancoso;Chris Dyer;Alan W Black.
arXiv: Computation and Language (2015)

321 Citations

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

Wang Ling;Tiago Luís;Luís Marujo;Ramón Fernandez Astudillo.
arXiv: Computation and Language (2015)

227 Citations

EUROM - a spoken language resource for the EU - the SAM projects.

Dominic S. F. Chan;Adrian Fourcin;Dafydd Gibbon;Björn Granström.
conference of the international speech communication association (1995)

144 Citations

EUROM-A Spoken Language Resource for the EU

D Chan;A Fourcin;D Gibbon;B Granstrom.
conference of the international speech communication association (1995)

140 Citations

Not All Contexts Are Created Equal: Better Word Representations with Variable Attention

Wang Ling;Yulia Tsvetkov;Silvio Amir;Ramon Fermandez.
empirical methods in natural language processing (2015)

139 Citations

Efficient procedures for finding the optimum innovation in stochastic coders

I. Trancoso;B. Atal.
international conference on acoustics, speech, and signal processing (1986)

136 Citations

Temporal Video Segmentation to Scenes Using High-Level Audiovisual Features

P. Sidiropoulos;V. Mezaris;I. Kompatsiaris;H. Meinedo.
IEEE Transactions on Circuits and Systems for Video Technology (2011)

123 Citations

Best Scientists Citing Isabel Trancoso

Chris Dyer

Chris Dyer

Google (United States)

Publications: 24

Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 23

Marcos Zampieri

Marcos Zampieri

Rochester Institute of Technology

Publications: 20

Hinrich Schütze

Hinrich Schütze

Ludwig-Maximilians-Universität München

Publications: 18

Hai Zhao

Hai Zhao

Shanghai Jiao Tong University

Publications: 18

Yue Zhang

Yue Zhang

Westlake University

Publications: 17

Noah A. Smith

Noah A. Smith

University of Washington

Publications: 17

Kyunghyun Cho

Kyunghyun Cho

New York University

Publications: 14

Jacob Eisenstein

Jacob Eisenstein

Google (United States)

Publications: 13

Sadaoki Furui

Sadaoki Furui

Toyota Institute of Technology

Publications: 12

Preslav Nakov

Preslav Nakov

Qatar Computing Research Institute

Publications: 12

Ioannis Kompatsiaris

Ioannis Kompatsiaris

Information Technologies Institute, Greece

Publications: 11

Junichi Yamagishi

Junichi Yamagishi

National Institute of Informatics

Publications: 11

Dahua Lin

Dahua Lin

Chinese University of Hong Kong

Publications: 11

Xipeng Qiu

Xipeng Qiu

Fudan University

Publications: 10

Wanxiang Che

Wanxiang Che

Harbin Institute of Technology

Publications: 10

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

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