Exact(1)
Practically all work within statistical word alignment stems from the early works in statistical machine translation done by Brown et al.[ 4].
Similar(58)
The plan for future research includes the development of statistical word-based and subword-based language models for Polish.
Statistical language data, obtained as a result of performed statistical analysis, enable to develop statistical word-based and phoneme-based language models for Polish.
The results of statistical analysis of Polish language, enable to develop statistical word-based and phoneme-based language models, in order to be used for automatic speech recognition.
Therefore, the main objective of the research presented in this paper, was to perform statistical analysis of Polish language based on the orthographic and phonemic language corpus, for development of statistical word-based and phoneme-based language models, as well as applying them to improve speech recognition for Polish.
Lexicon based technique works with individual words while statistical analysis incorporates words co-occurrence using point wise mutual information (PMI) and latent semantic analysis (LSA).
Table 3 Statistical information for word tokens Token Type Mean Median Positive Word Token 3.18 3.16 Negative Word Token 2.75 2.75.
Students are supposed to teach themselves relevant research tools (computational, statistical, or technical word processing).
What sets the present effort apart, as emphasized by using the word statistical, is that we focus on methods that have rigourous theoretically derived asymptotic detection criteria.
This statistical regularity in word distributions is found across a wide range of languages [16], [18].
This could be done by exploiting n-gram information, expanded context information, additional corpus-based statistical features, or word formation features as described by Wu et al. [ 45].
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