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Company · Paris · France

Systran (France)

Research works
22
▲ 319% vs 2013–17
Citations
376
17.1 per fractional work
Top-10% rate
0.0%
record average 16.5%
Open access
59%
world 28%

Not ranked overall: Systran (France) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Who are the top researchers at Systran (France)?

Ranked on the composite score, Jean Sénellart lead among researchers whose main affiliation is Systran (France).

  1. 1 Jean Sénellart France · #197,859 worldwide 156 citations · 24 works
All ranked researchers at Systran (France)

Which keywords describe research at Systran (France)?

By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Text Classification, Machine Translation, Word Representation, Digital Divide and Transportation.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 12 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 12 words, with their numbers
  1. Neural Networks4▲ 19×6 topics
  2. Neural Machine Translation4▲ 242×1 topic
  3. Statistical Machine Translation4▲ 242×1 topic
  4. Text Classification3▲ 157×2 topics
  5. Machine Translation3▲ 121×1 topic
  6. Word Representation3▲ 205×1 topic
  7. Machine Learning2▲ 3.2×6 topics
  8. Deep Learning1▲ 2.4×3 topics
  9. Mechanical Properties1▲ 5.1×9 topics
  10. Digital Divide1▲ 24×1 topic
  11. Social Media1▲ 5.8×1 topic
  12. Transportation1▲ 34×2 topics

Which research topics does Systran (France) publish most on?

By volume in 2022–2025: Natural Language Processing Techniques, Topic Modeling, Speech Recognition and Synthesis and Speech and dialogue systems.

  1. 1 Natural Language Processing Techniques Artificial Intelligence 2 works
  2. 2 Topic Modeling Artificial Intelligence 1 works
  3. 3 Speech Recognition and Synthesis Artificial Intelligence 0 works
  4. 4 Speech and dialogue systems Artificial Intelligence 0 works
  5. 5 French Language Learning Methods Linguistics and Language 0 works
  6. 6 Computational Physics and Python Applications Artificial Intelligence 0 works
  7. 7 Mathematics, Computing, and Information Processing Computational Theory and Mathematics 0 works
  8. 8 Linguistics and Discourse Analysis Philosophy 0 works
  9. 9 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 0 works
  10. 10 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 0 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available59.3%not open40.7%

World: 28% of research is openly available.

with international co-authors43.8%domestic only56.2%

World: 19% is written across borders.

How has Systran (France)'s research output changed?

Output in 2018–2022 was 319% higher than in 2013–2017.

200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Paris

All research institutions in Paris

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.