词汇 | example_english_sparseness |
释义 | Examples of sparsenessThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. This sparseness is actually a factor throughout the book, despite the practical detail in the case studies. The sparseness of food resources kept population densities quite low prior to the development of agriculture. This is justified by the fact that sparseness is far more severe for lexical probabilities than for language model probabilities. This is a typical result of the data sparseness we have encountered while training the word-based model. We can overcome the problem of data sparseness by applying not co-occurring words but co-occurring clusters to the similarity of target words. When we consider the words with different inflectional and derivational suffixes different, then we have to deal with data sparseness. Some influence of temporal sparseness upon the strength of the feedback would be required in that case. Thus, one would expect the variance in the estimated responses to grow with increasing sparseness. We surmise that these constraints simply differ from corpus to corpus and are related to general data sparseness effects. Traditional attempts to tackle the problem of data sparseness include the class-based approaches and similarity-based approaches. To do this, we make use of some properties of sparse matrices since nearly all economic models display sparseness. Note that, due to data sparseness, all of these words, though related with soccer have less probability when compared to stem-based and noun-based models. This sparseness limits the communication necessary through the constraint network, and permits effective distribution of work among agents. The girth as another graph parameter controlling the sparseness of a graph is less well studied in this context. We should take into consideration the data sparseness problem because the data do not contain all phenomena of the language in most cases. The table clearly shows the influence of the tokenization level on the data sparseness: word-level models suffer increased data sparseness in comparison with segment-level models. In addition, an effective back-off modelling approach by constraint relaxation is proposed to deal with the data sparseness problem. Furthermore, an effective constraint relaxation algorithm is proposed to deal with the data sparseness problem. Results of different experimental settings are given, showing that the system, in spite its conservative bias, successfully copes with the problem of training data sparseness. This abstractness, the sense of an entirely non-referential architecture, is reinforced by the music's sparseness. It also gives a useful property on the sparseness of the set of jumps. The segment-level tagger outperforms the word-level tagger in its tagging accuracy since it suffers less from data sparseness. The sparseness of brain gym research within primary research journals does hint at the ambivalent position brain gym holds within mainstream research and practice. Sparseness of data makes it difficult to demonstrate the character of these dependencies with data for individual words or phrases. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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