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a computational grammar of sinhala for english
a computational grammar of sinhala for english

... Communication is fundamental to the evolution and development of all kinds of living beings. With no disputes, languages should be recognized as the most amazing artifacts ever developed by mankind to enable communication. Computer has also become such a unique machine, due to its capacity to commun ...
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... take advantage of the flexibility of English grammar to favor sentence structures consistent with positions of nouns in Japanese. Genitive Reordering In Japanese, genitive constructions always occur in the form of X no Y, where Y belongs to X. In English, however, the order may be reversed through t ...
He He, Machine Translation . Empirical Methods in Natural Language Processing, 2015. @inproceedings{He:Grissom-II:Boyd-Graber:Daume-III-2015,
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Syntax-based Rewriting for Simultaneous Machine Translation
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Bilingual phrases for statistical machine translation
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... tain the target sentence eI1 that maximizes sequence of phrases are scored with a correthe product probabilities P r(eI1 ) · P r(f1J |eI1 ). sponding probability. We define a hypothe0 The search algorithm is a crucial part in stasis search as the triple (w, eI1 , g), where w ⊆ tistical machine trans ...
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Why Has AI Failed? And How Can it Succeed?
Why Has AI Failed? And How Can it Succeed?

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The Manifest Destiny of Artificial Intelligence
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... panel) was generated simply by searching for words that appear with elevated frequency in French translations of English sentences that include the word not. The most likely candidates are ne and pas, which together form the most common French negation. The final step in a statistical translation al ...
Intelligent Manufacturing Applications at Ford Motor Company
Intelligent Manufacturing Applications at Ford Motor Company

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Machine translation

Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation (MAHT) or interactive translation) is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.On a basic level, MT performs simple substitution of words in one language for words in another, but that alone usually cannot produce a good translation of a text because recognition of whole phrases and their closest counterparts in the target language is needed. Solving this problem with corpus and statistical techniques is a rapidly growing field that is leading to better translations, handling differences in linguistic typology, translation of idioms, and the isolation of anomalies.Current machine translation software often allows for customization by domain or profession (such as weather reports), improving output by limiting the scope of allowable substitutions. This technique is particularly effective in domains where formal or formulaic language is used. It follows that machine translation of government and legal documents more readily produces usable output than conversation or less standardised text.Improved output quality can also be achieved by human intervention: for example, some systems are able to translate more accurately if the user has unambiguously identified which words in the text are proper names. With the assistance of these techniques, MT has proven useful as a tool to assist human translators and, in a very limited number of cases, can even produce output that can be used as is (e.g., weather reports).The progress and potential of machine translation have been debated much through its history. Since the 1950s, a number of scholars have questioned the possibility of achieving fully automatic machine translation of high quality. Some critics claim that there are in-principle obstacles to automatizing the translation process.
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