Below you will find example sentences with "machine translation". The examples show how this phrase is used in natural context and which words often surround it.
Machine Translation in a sentence
Corpus data
- Displayed example sentences: 20
- Discovered as a combination around: machine
- Corpus frequency in the collocation scan: 13
- Phrase length: 2 words
- Average sentence length: 23.8 words
Sentence profile
- Phrase position: 13 start, 7 middle, 0 end
- Sentence types: 20 statements, 0 questions, 0 exclamations
Corpus analysis
- The phrase "machine translation" has 2 words and usually appears near the start in these examples. The average sentence has 23.8 words and is mostly made up of statements.
- Around this phrase, patterns and context words such as a machine translation system from, a machine translation system initially, based, main and interlingual stand out.
- In the phrase index, this combination connects with machine learning, turing machine, machine gun, turing machine and machine guns, linking the page to nearby combinations.
Example types with machine translation
This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:
A Machine Translation System from English to American Sign Language. (10 words)
Interlingual main Interlingual machine translation is one instance of rule-based machine-translation approaches. (14 words)
Machine translation main To translate accurately, a machine must be able to understand the text. (15 words)
Using machine translation as a teaching tool Although there have been concerns about machine translation's accuracy, Dr. Ana Nino of the University of Manchester has researched some of the advantages in utilizing machine translation in the classroom. (38 words)
Transfer-based machine translation main Transfer-based machine translation is similar to interlingual machine translation in that it creates a translation from an intermediate representation that simulates the meaning of the original sentence. (33 words)
Print. When machine translation (also known as mechanical translation) failed to yield accurate translations right away, automated processing of human languages was recognized as far more complex than had originally been assumed. (32 words)
Example sentences (20)
Transfer-based machine translation main Transfer-based machine translation is similar to interlingual machine translation in that it creates a translation from an intermediate representation that simulates the meaning of the original sentence.
Using machine translation as a teaching tool Although there have been concerns about machine translation's accuracy, Dr. Ana Nino of the University of Manchester has researched some of the advantages in utilizing machine translation in the classroom.
Phrase, previously Memsource, offers a comprehensive solution by connecting to over 30 generic and custom machine translation engines, providing users with various machine translation options.
Interlingual main Interlingual machine translation is one instance of rule-based machine-translation approaches.
Little further research in machine translation was conducted until the late 1980s, when the first statistical machine translation systems were developed.
Machine translation and signed languages In the early 2000s, options for machine translation between spoken and signed languages were severely limited.
Two of the most prominent types of AI technologies in the translation industry are neural machine translation, such as Google Translate, and large language models, like ChatGPT.
Approaches Bernard Vauquois' pyramid showing comparative depths of intermediary representation, interlingual machine translation at the peak, followed by transfer-based, then direct translation.
Print. When machine translation (also known as mechanical translation) failed to yield accurate translations right away, automated processing of human languages was recognized as far more complex than had originally been assumed.
Some critics claim that there are in-principle obstacles to automating the translation process. citation History main The idea of machine translation may be traced back to the 17th century.
There have been attempts to incorporate this into machine translation by adding a transliteration step into the translation procedure.
Machine translation main To translate accurately, a machine must be able to understand the text.
Machine Translation (MT) Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information.
DeepL, which has been rivalling machine translation giants such as Google Translate and Microsoft Translator, has launched an writing assistant tailored for businesses.
After it’s created machine translation for African languages, the group envisions potential for a range of open source projects to benefit Africans.
Machine translation engines shorten project timeline and helps in reducing costs for customers which are the factors responsible for the growth of the market.
Sean Colbath, a senior scientist at BBN Technologies who works on machine translation, agreed that strange outputs are probably due to Google Translate’s algorithm looking for order in chaos.
Although originally intended as a means for the exchange of lexical data between proprietary machine translation lexicons, it has evolved into a more general standard for terminology exchange.
A Machine Translation System from English to American Sign Language.
A machine translation system initially would not be able to differentiate between the meanings because syntax does not change.