Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Machine translation is the use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic, and pragmatic nuances of both languages.
History & Applications
Explore the main themes, entities and connections around Machine translation. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
translation machine language mt human text languages use statistical translate english one also research translations quality approaches first translated used
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Machine translation | is a | use of computational techniques to translate text or speech from one language to another | 0.90 | text |
| people | instance of | refer to concrete or abstract entities in the real world | 0.80 | text |
| organizations | instance of | refer to concrete or abstract entities in the real world | 0.80 | text |
| companies | instance of | refer to concrete or abstract entities in the real world | 0.80 | text |
| and places that have a proper name | instance of | refer to concrete or abstract entities in the real world | 0.80 | text |
| 1 July 2011 | instance of | space and quantity | 0.80 | text |
| instance of | in utilities | 0.80 | text | |
| or instant messaging clients such as Skype | instance of | in utilities | 0.80 | text |
| Google Talk | instance of | in utilities | 0.80 | text |
| MSN Messenger | instance of | in utilities | 0.80 | text |
| etc | instance of | in utilities | 0.80 | text |
| Google Translate may accidentally violate client confidentiality by exposing private information to the providers of the translation tools | instance of | Lawyers who use free translation tools | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.