Questions tagged [statistical-mt]

The theory and practice of MT that uses probabilistic models and statistical decision procedures to generate optimal translations. Usually included is the task of multilingual text alignment.

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Generalisations which a bi-gram probabilistic model might infer from a dataset

I have the following exam question for a machine translation course: From my understanding, I assume the answer is looking for incorrect English grammar which get discovered by bi-grams. So the ...
TomSelleck's user avatar
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Direction of alignment function in statistical machine translation

I'm trying to learn IBM Models and statistical machine translation. I have read various resources and realized that in same articles, alignment function is designed in direction from target language ...
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Simple bigram letter model

I am working through an exercise where, given a set of corpora, I will implement a simple model on a test corpus to determine the most likely corpus. Say the corpora with which I want to learn are ...
Héctor's user avatar
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Is there any theory for mathematically judging the quality of a parallel corpus before running it through a machine translation pipeline?

The performance of a machine translation system is highly impacted by the parallel corpus it is trained on. Therefore, as we all know, a good quality normalized and (ideally) noise-free corpus is ...
Musfiqur Rahman's user avatar
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What do distributed frequency and raw frequency mean?

What do distributed-frequency, distributed-frequency cum-age, raw-frequency, and raw-frequency-cum-range mean? They are mentioned on link: "Second, young age group under 15 rely more on core ...
Mr Anonymous's user avatar
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Phrase suggestion model using a gold standard corpus

There are already spell checking models available which help us to find the suggested correct spellings based on a corpus of trained correct spellings. Can the granularity be increased to "word" from ...
lingo101's user avatar
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