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CONFERENCE ON MACHINE TRANSLATION

CONFERENCE ON MACHINE TRANSLATION

Abu Dhabi , United Arab Emirates

Submission Deadline: Sunday 07 Aug 2022

Conference Dates: Dec 07, 2022 - Dec 08, 2022

Research
Impact Score 1.00

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.00
Contributing Best Scientists: 6
H5-index:
Papers published by Best Scientists 5
Research Ranking (Computer Science) 825

Conference Call for Papers

This year's conference will feature the following shared tasks:

a general MT translation task (former News task),
a biomedical translation task,
a code-mixing translation task,
an automatic post-editing task,
a word-level autocompletion task,
a metrics task (assess MT quality with or without reference translation),
a quality estimation task (assess MT quality without access to any reference),
an MT efficiency task,
a translation suggestion task (generate the suggestions for incorrect spans of the MT sentence),
a chat translation task,
a sign language translation task,
a robustness translation task,
a triangual MT task,
a large-scale multilingual MT task,
an unsupervised and very low resource supervised translation task
In addition to the shared tasks, the conference will also feature scientific papers on topics related to MT. Topics of interest include, but are not limited to:

MT models (neural, statistical etc. )
analysis of neural models for MT
using comparable corpora for MT
selection and preparation of data for MT
semi-supervised and unsupervised learning for MT, transfer learning
multilingual MT
incorporating linguistic information into MT
MT inference
manual and automatic methods for evaluating MT
quality estimation for MT

Overview

Top Research Topics at Workshop on Statistical Machine Translation?

  • Machine translation (99.44%)
  • Artificial intelligence (95.50%)
  • Natural language processing (72.61%)

The conference primarily tackles Machine translation, Artificial intelligence, Natural language processing, Translation (geometry) and Phrase. The studies in Machine translation featured incorporate elements of Language model, Speech recognition, Word (computer architecture) and Rule-based machine translation. Research on Speech recognition addressed in Workshop on Statistical Machine Translation frequently intersections with the field of BLEU.

In the event, Syntax and Information retrieval are investigated in conjunction with one another to address concerns in Rule-based machine translation research. Many of the studies tackled connect Artificial intelligence with a similar field of study like Machine learning. Workshop on Statistical Machine Translation connects the study in Machine learning with the closely related area of Data mining.

The close relationship between German and Czech is one of the points of interest dissected in Natural language processing research. Workshop on Statistical Machine Translation focuses on Translation (geometry) but the discussions also offer insight into other areas such as Feature (machine learning), System combination and Pattern recognition. The concepts on Phrase presented in the event can also apply to other research fields, including Context (language use), Set (abstract data type), Decoding methods, Discriminative model and Table (database).

What are the most cited papers published at the conference?

  • Meteor Universal: Language Specific Translation Evaluation for Any Target Language (1279 citations)
  • KenLM: Faster and Smaller Language Model Queries (959 citations)
  • METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments (683 citations)

Research areas of the most cited articles at Workshop on Statistical Machine Translation:

The most cited publications mainly tackle studies in Machine translation, Artificial intelligence, Natural language processing, Translation (geometry) and Evaluation of machine translation. In addition to Machine translation research, the published papers aim to explore topics under Word (computer architecture) and Word error rate. The published papers explore research in Speech recognition and overlapping concepts in Posterior probability to expand the discourse in Natural language processing.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Machine translation
  • Programming language

The previous edition focused in particular on these issues:

Machine translation, Artificial intelligence, Natural language processing, Translation (geometry) and Phrase are among the topics commonly tackled in Workshop on Statistical Machine Translation. Topics in Machine translation were tackled in line with various other fields like Machine learning, Speech recognition, Word (computer architecture) and Decoding methods. The research on Speech recognition featured in the conference combines topics in other fields like Noun, Preprocessor, Machine translated and Fluency.

Baseline (configuration management) and Data mining are some topics wherein Artificial intelligence research discussed in the event have an impact. The featured works in Rule-based machine translation and Example-based machine translation, which all belong in the domain if Natural language processing, also overlaps with concepts under Morphological segmentation and Correlation. The Translation (geometry) works featured in it incorporate elements from Context (language use), Bayesian probability and Task (computing).

The most cited articles from the last conference are:

  • chrF: character n-gram F-score for automatic MT evaluation (299 citations)
  • Findings of the 2015 Workshop on Statistical Machine Translation (134 citations)
  • Montreal Neural Machine Translation Systems for WMT’15 (121 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at Workshop on Statistical Machine Translation (based on the number of publications) are:

  • Philipp Koehn (46 papers) published 3 papers at the last edition, 5 less than at the previous edition,
  • Hermann Ney (29 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Chris Callison-Burch (22 papers) absent at the last edition,
  • Jan Niehues (18 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Barry Haddow (18 papers) published 3 papers at the last edition, 2 less than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Workshop on Statistical Machine Translation (based on the number of publications) are:

  • University of Edinburgh (57 papers) published 4 papers at the last edition, 5 less than at the previous edition,
  • Charles University in Prague (39 papers) published 6 papers at the last edition, 1 less than at the previous edition,
  • Carnegie Mellon University (38 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Dublin City University (34 papers) published 8 papers at the last edition, 2 less than at the previous edition,
  • Johns Hopkins University (33 papers) published 1 paper at the last edition, 3 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2015 edition, 6.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 46.43% were posted by at least one author from the top 10 institutions publishing at the conference. Another 16.07% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.07% of all publications and 21.43% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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