Editing SYSTRAN

{{short description|Machine translation company}}
{{Infobox website
| name = SYSTRAN Translate
| logo = SYSTRAN logo.svg
| logo_size = 200px
| screenshot = 
| caption = 
| url = {{URL|https://www.systransoft.com/}} (SYSTRAN) <br /> {{URL|https://www.systran.us/}} (SYSTRAN Americas) <br /> {{URL|https://www.systran.net/en/translate/}} (SYSTRAN Translate)
| commercial = Yes
| type = [[Neural machine translation]]
| registration = Optional
| language = <onlyinclude>55</onlyinclude> languages (140 combinations)
| num_users = 
| founder = Dr. Peter Toma
| owner = 
| launch_date = {{start date and age|1968}}
| current_status = Active
}}
'''SYSTRAN''', founded by Dr. Peter Toma in 1968,<ref>Systran: Past and Present - https://lilab.unibas.ch/staff/tenhacken/Applied-CL/3_Systran/3_Systran.html#history</ref> is one of the oldest [[machine translation]] companies. SYSTRAN has done extensive work for the [[United States Department of Defense]] and the [[European Commission]].

SYSTRAN provided the technology for [[Babel Fish (website)|Yahoo! Babel Fish]] until May 30, 2012, among others. It was used by Google's [[list of Google products#Search tools|language tools]] until 2007.<ref>Google Switches to Its Own Language System, ''Google Operating System'', October 2007</ref> SYSTRAN is used by the Dashboard Translation widget in [[macOS]].

Commercial versions of SYSTRAN can run on [[Microsoft Windows]] (including [[Windows Mobile]]), [[Linux]], and [[Solaris (operating system)|Solaris]]. Historically, SYSTRAN systems used [[rule-based machine translation]] (RbMT) technology. With the release of SYSTRAN Server 7 in 2010, SYSTRAN implemented a hybrid rule-based/[[statistical machine translation]] (SMT) technology which was the first of its kind in the marketplace.<ref>{{cite web|last=Grunwald|first=David|title=Inside SYSTRAN Training Server 7|url=http://blog.gts-translation.com/2011/05/26/inside-systran-training-server-7/|publisher=GTS|access-date=30 May 2011}}</ref>

{{As of|2008}}, the company had 59 employees of whom 26 are computational experts and 15 computational linguists.<ref name=2008FinancialReport>{{cite web|url=http://www.systransoft.be/download/annual-reports/systran-annual-report-2008.pdf|title=SYSTRAN annual financial report 2008|access-date=2012-04-04|year=2008|publisher=SYSTRAN}}</ref> The number of employees decreased from 70 in 2006 to 59 in 2008.<ref name=2008FinancialReport />

==History==
With its origin in the [[Georgetown–IBM experiment|Georgetown]] machine translation effort, SYSTRAN was one of the few machine translation systems to survive the major decrease of funding after the [[ALPAC|ALPAC Report]] of the mid-1960s. The company was established in [[La Jolla]] in California to work on translation of Russian to English text for the [[United States Air Force]] during the [[Cold War]].<ref name=USSR.cold>{{cite news |newspaper=[[The New York Times]]
   |url=https://archive.nytimes.com/www.nytimes.com/library/tech/98/03/cyber/eurobytes/10euro.html
   |title=Free Translation of Language Proves More Divertimento Than a Keg of Monkeys
   |author=Bruno Giussani  |date=March 10, 1998}}</ref> Large numbers of Russian scientific and technical documents were translated using SYSTRAN under the auspices of the USAF [[Foreign Technology Division]] (later the [[National Air and Space Intelligence Center]]) at [[Wright-Patterson Air Force Base]], Ohio. The quality of the translations, although only approximate, was usually adequate for understanding content.

The company headquarters is in Paris, while its U.S. headquarters is in San Diego, CA.

During the [[dot-com bubble|dot-com boom]], the international [[language industry]] started a new era, and SYSTRAN entered into agreements with a number of translation integrators, the most successful of these being WorldLingo.<ref>{{cite web|url=http://translations.com/services/language-services/machine-translation.html?gclid=EAIaIQobChMIqI23ycHO2QIVBw5pCh1nDAxVEAAYASAAEgJZgvD_BwE#WorldLingo|title=Machine Translation|date=2016-12-01|website=translations.com|access-date=2018-03-02}}</ref><ref>{{cite news  |newspaper=[[The Wall Street Journal]] (WSJ)
   |url=https://www.wsj.com/articles/SB119811828316841433
   |title=With Online Services, Foreign Texts Can Get Lost in Translation
   |date=December 20, 2007}}</ref>

In 2016, the [https://nlp.seas.harvard.edu/ Harvard NLP group] and SYSTRAN founded [https://opennmt.net/ OpenNMT], an open source ecosystem for neural machine translation and neural sequence learning. This has enabled machine translation software with learning capabilities, dramatically increasing MT translation quality. The project has since been used in several research and industry applications, and its open source ecosystem is currently maintained by SYSTRAN and [https://www.ubiqus.com/ Ubiqus].

== Business situation ==
Most of SYSTRAN's revenue comes from a few customers. 57.1% comes from the 10 main customers and the three largest customers account for 10.9%, 8.9%, and 8.9% of its revenues, respectively.<ref name="2008FinancialReport"/> Revenues had been declining in the early 2000s: 10.2 million euros in 2004, 10.1 million euros in 2005, 9.3 million euros in 2006, 8.8 million euros in 2007, and 7.6 million euros in 2008,<ref name="2008FinancialReport"/> before seeing a rebound in 2009 with 8.6 million euros.<ref>{{cite web|url=http://www.systransoft.be/download/annual-reports/systran-annual-report-2009.pdf|title=SYSTRAN annual financial report 2009|access-date=2012-04-04|page=63|year=2009|publisher=SYSTRAN}}</ref>

==Languages==
The following is a list of the languages in which SYSTRAN translate from and to English:<ref>{{cite web |title=Language Catalogue, |url=https://www.systransoft.com/download/product-datasheets/systran-languages-datasheet-0120.pdf |publisher=SYSTRAN |access-date=11 October 2021}}</ref>
{{div col|colwidth=19em}}
*[[Albanian language|Albanian]]
*[[Arabic language|Arabic]]
*[[Bengali language|Bengali]]
*[[Bulgarian language|Bulgarian]]
*[[Burmese language|Burmese]]
*[[Catalan language|Catalan]]
*[[Simplified Chinese language|Chinese (Simplified)]]
*[[Traditional Chinese language|Chinese (Traditional)]]
*[[Croatian language|Croatian]]
*[[Czech language|Czech]]
*[[Danish language|Danish]]
*[[Dutch language|Dutch]]
*[[Estonian language|Estonian]]
*[[Finnish language|Finnish]]
*[[French language|French]]
*[[Georgian language|Georgian]]
*[[German language|German]]
*[[Greek language|Greek]]
*[[Hebrew language|Hebrew]]
*[[Hindi language|Hindi]]
*[[Hungarian language|Hungarian]]
*[[Indonesian language|Indonesian]]
*[[Italian language|Italian]]
*[[Japanese language|Japanese]]
*[[Korean language|Korean]]
*[[Latvian language|Latvian]]
*[[Lithuanian language|Lithuanian]]
*[[Malay language|Malay]]
*[[Norwegian language|Norwegian]]
*[[Persian language|Persian]]
*[[Polish language|Polish]]
*[[Portuguese language|Portuguese]]
*[[Romanian language|Romanian]]
*[[Russian language|Russian]]
*[[Serbian language|Serbian]]
*[[Slovak language|Slovak]]
*[[Slovenian language|Slovenian]]
*[[Somali language|Somali]]
*[[Spanish language|Spanish]]
*[[Swahili language|Swahili]]
*[[Swedish language|Swedish]]
*[[Tagalog language|Tagalog]]
*[[Tamil language|Tamil]]
*[[Thai language|Thai]]
*[[Turkish language|Turkish]]
*[[Ukrainian language|Ukrainian]]
*[[Urdu language|Urdu]]
*[[Vietnamese language|Vietnamese]]
{{div col end}}


*[[Russian language|Russian]] into [[English language|English]] in 1968 and English into Russian in 1973 for the [[Apollo–Soyuz]] project.

== See also ==
*[[Bilingual dictionary]]
*[[Bing Translator]]
*[[Comparison of machine translation applications]]
*[[Google Translate]]
*[[PROMT]]
*[[Reverso (language tools)|Reverso]]

== References ==
{{Reflist}}

== External links ==
*{{official website|http://www.systransoft.com/}}

{{Authority control}}

[[Category:Machine translation]]
[[Category:Translation websites]]