Found inside – Page 5STYLE provides information about the average lengths of words and sentences , the distribution of sentence lengths , the ... The program documentation suggests that the user may want to transform some of the overused constructions " into ... Found inside – Page 197The dark side of this transformation is the fact that it gives a word length greater than optimal - - and especially , an agglutinated word - form , not to ... Found inside – Page 167The impulses are not broken up into word-length, or sentence-length, ... with their transformation into electrical impulses on telephone lines, ... Found inside – Page 295The consideration of special Chinese words in the user's input sentences serves ... The segmentation length of a Chinese sentence should be limited to avoid ... Found inside – Page 9755.3 Target Sentence Generation Based on the pattern sentence and word alignment , the target sentence is generated by replacing some of ... Translate t ( ie ( 1 , k ] ) by first converting them into Korean by using the Transformation Table and then looking up dictionary . ... because 60 % of the Korean words ( most of them are noun and verb with word length greater than or equal to 2 ) are originated from ... Found inside – Page 268Transform a sentence using rules in a script, # return nil if no rule applies ... queue ) response = nil while queue.length > 0 rule = queue.shift response ... Found inside – Page 118Therefore the information provided by preliminary analysis is richer than the word count proposed by Matthews only if it allows greater selectivity in the ... Found inside – Page 21There are 357 words divided into seven sentences, with no paragraph ... The third sentence (33 words) also has an adjunct group at its end; and its length ... Found inside – Page 91Transform the following sentence into a direct sentence: I asked Sheela if I might know her father. ... Which of the following words is a preposition? Found inside – Page 552Then, we remove the meaningless stop words in the text and retain the key text information. Finally, we need to count the maximum length of all sentences in ... Found inside... a good idea to vary the length of sentences and often the abrupt use of just one word adds drama. The Comma Commas are staging points in a sentence. Found inside – Page 273... network which transform a real sentence vector si into a synthetic sentence ti. In the encoderdecoder module, the probability of jth word in a length ... Found inside – Page 2Transform the raw data for input into storage devices . ... and the fact that computers read character positions , or fields , and not words or sentences . Found inside – Page 87In computers, the word (or words) used to match the subject in the search is called: A. Accepts the right of private ownership of property. B. Transforms ... Found inside – Page 91Transform the following sentence into a direct sentence: I asked Sheela if I might know her father. ... Which of the following words is a preposition? Found inside – Page 191The hierarchy of the coordinate structures in the sentence is roughly ... They transform each conjunct candidate into a fixed-length vector so that our ... Found inside – Page 415Word embeddings transform words into distributed representations, ... a vector sequence x = {x1 ,x2 ,··· ,xm}, where m is the length of the input sentence. Found insideHelp students practice word choice by having them transform simple sentences, orally or in written form, into ones that vividly depict a situation. Found inside – Page 225Any word that is uncommon enough to not make our vocabulary size cut-off ... a function that will convert a list of sentences into lists of word indices ... Found inside – Page 250The simplest approach is therefore to count the number of phonemes, syllables, or words occurring over the duration of a sentence. Rate calculations can be ... Found inside – Page 366Levenshtein distance is defined as the minimum number of word insertions, substitutions and deletions necessary to transform one sentence to other. Found inside – Page 4034-30 -36 INPUT SENTENCE SI LIST OF CONFUSED WORDS CANDIDATE SENTENCE SZ PART OF SPEECH ... block length , an FFT unit for executing Fast Fourier transform on ... Found inside – Page 254The word 'yesterday' makes it clear that the sentence is of simple past tense. ... So, the next part would be talking about what it can do i.e. transform ... Found inside – Page 62V. TRANSFORMATION OF SENTENCES Variety , they say , is the spice of life . ... of a judicious mixture of sentences of different patterns and varying length ... Found inside – Page 249In the preceding code, we padded our sentences with the post option, ... In the next subsection, we'll finally transform words into vectors. Found inside – Page 61... (SLD) The length difference in words or characters [14,29] Edit distance (word- or character-based) The number of operations to transform one sentence ... Found inside – Page 101Each line shows the components of 1 word in the order that appears in Wak with the ... Next, we prepare the transformed sentence to be the same length by ... Found inside – Page 64The readability indices reported by STYLE are based on measures of sentence and word lengths . ... Documents with short sentences and short words have low scores ; those with long sentences and many polysyllabic words have high scores . ... The writer may want to transform some of these sentences into another form . Found inside – Page 164Ni,s denotes The word the length w of the sentence i, each sentence is ... task is to transform the ,..., input hwi,Ni,s). sequence The second words ... Found inside – Page 94In the Word Representation layer, we transform words into representative vectors according to pretrained ln is the word embedding. sentence length. Found inside – Page 315... order to indexes transform must be attached to the words in a correct way. ... Whereas an additive sentence can have an unlimited length and complexity, ... Found inside – Page 131Given a string of input words V (representing a spoken language sentence) and a string of words W (representing a written language sentence), we transform V ... Found inside – Page 325Variable-length input sequences should be truncated or padded to a fixed maximum length. 19. Convert a sentence into a vector by averaging word embedding ... Found inside – Page 9750 , then continue to select the sentence greatest weight from the left sentences , until we get a set of sentences ( e1 , e2 , ... , ex ) , and C ( e , ) UC ( ez ) U .. ... because 60 % of the Korean words ( most of them are noun and verb with word length greater than or equal to 2 ) are originated ... Then approximate word matching between the transformed words and the words in Korean example sentence of the ... Found inside – Page 224Instead, for Word2VecModel, the training requires a field of sentences and the resulting model transforms fields of individual words, as in Example 9-6. Found inside – Page 59We transform the problem to a K-Nearest-Neighbor (KNN) matching problem: given ... of syllables), average sentence length (number of words), word frequency, ... Found inside – Page 186The signal is next Fourier transformed. Since the sentences of the text contain different numbers of words, the sentence vectors' lengths differ. Found inside – Page 181Token transformation: each word in a sentence will be transformed into a ... More precisely, given a sentence S of length n, for the i-th word wi of s, ... Found inside – Page 52sentence length (words per sentence) and complexity of the sentence ... It may be hard for the authors to transform this information into concrete text ... Found inside – Page 44Transforms over the MH Treebank Lexicalize select and percolate lexical heads ... Percolation Decorate(definiteness) 483 sentences (average length in word ... Found inside – Page 5713.1 Preprocessing of Datasets and Training Dataset Transformation The raw ... For example, when a sentence has 70 words and each word is represented by 300 ... Found inside – Page 70Have I included practical information/instructions (e.g. about word length)? • Are there any words that require an explanation? Found insideThe key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. Chapter 7. Found inside – Page 345To analyse texts with the help of computers, you need to transform them into ... such as word length, sentence length, etc.; • extraction of significant ... Found inside – Page 186The signal is next Fourier transformed . Since the sentences of the text contain different numbers of words , the sentence vectors ' lengths differ . Here we use the Discrete Fourier Transform ( DFT ) to transform the sentence vectors . We do not ... Found inside – Page 23This sentence , which has dmax = 7 at the word clearly ) , can be reduced to dmax = 3 by transforming it to the following : The man was arrested ... The length of the sentences ranged from 14 to 19 words with a mean length of 17.15 words . 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