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The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.
A definition match algorithm was created to automatically merge the correct meanings of ambiguous words between the two online resources, based on the words that the definitions of those meanings have in common in LDOCE and WordNet. Using a similarity matrix, the algorithm delivered matches between meanings including a confidence factor. This ...
from Hindi and Urdu: An acknowledged leader in a field, from the Mughal rulers of India like Akbar and Shah Jahan, the builder of the Taj Mahal. Maharaja from Hindi and Sanskrit: A great king. Mantra from Hindi and Sanskrit: a word or phrase used in meditation. Masala from Urdu, to refer to flavoured spices of Indian origin.
Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, [134] which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. Most common English words have at least two senses, which produces 50 ...
Hindustani (sometimes called Hindi–Urdu) is a colloquial language and lingua franca of Pakistan and the Hindi Belt of India. It forms a dialect continuum between its two formal registers: the highly Persianized Urdu, and the de-Persianized, Sanskritized Hindi. [2] Urdu uses a modification of the Persian alphabet, whereas Hindi uses Devanagari ...
He can "talk to himself", "to somebody else", "refer to something" etc. For example Firaq Gorakhpuri, whose takhallus is the word for the common theme in Urdu poetry of the state of pining for the beloved, plays on his pen name and the word firaq: Urdu: تو یہ نہ سمجھنا کے فِراق تیری فِراق میں ہیں
For literary domains, a mere transliteration between Hindi-Urdu will not suffice as formal Hindi is more inclined towards Sanskrit vocabulary whereas formal Urdu is more inclined towards Persian and Arabic vocabulary; hence a system combining transliteration and translation would be necessary for such cases. [9]
The first type of system corresponds to that outlined in Figure 1. while the other types would be approximated by the diagram in Figure 4. The following resources are necessary to an interlingual machine translation system: Figure 4. Machine translation in a knowledge-based system.