Báo cáo khoa học: "Lexicalized phonotactic word segmentation" pptx
Báo cáo khoa học: "Lexicalized phonotactic word segmentation" pptx
... number of words (small,medium, large subsets), average phones per word, average words per phrase, and percent of word types that occur onlyonce (hapax). Phones /word is replaced by characters /word ... partial wordshelps the segmenter handle long, infrequent words.Long words are typically created by productive mor-phology and, thus, often start and end just like otherwords. Only 32% of words ... adjacent words are possible, thealgorithm alternates which to prefer. Each word isthen sudivided into a sequence of reliable words,when possible. Because words are typically shortand reliable words...
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Báo cáo khoa học: "Adaptive Chinese Word Segmentation" pptx
... segmented words that are either lexical words or OOV words with certain types (e.g. person name, morphological words, new words) we then have a system that can perform word segmentation and OOV word ... models, the procedure of word segmentation in our system is as follows: First, all word candidates (lexical words and OOV words of certain types) are generated, each with its word class tag and ... new words from our dictionary according to the distribution – the probability that any lexical word w would be a new word P(NW|w). We then generate a new -word- annotated corpus from a word- seg-mented...
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Tài liệu Báo cáo khoa học: "Rethinking Chinese Word Segmentation: Tokenization, Character Classification, or Wordbreak Identification" pdf
... co-occurrence. Word based model. In this model, statistical dataabout word boundary frequencies for each characteris retrieved word- wise. For example, in the case ofa monosyllabic word only two word ... components of words, instead,they are contextual background providing informa-tion about the likelihood of whether each CB is alsoa wordbreak (WB). In other words, we model Chi-nese word segmentation ... modeling, all exiting algorithms sufferfrom the same dilemma. Word segmentation is sup-posed to identify word boundaries in a running text,and words defined by these boundaries are then com-pared with...
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Báo cáo khoa học: "Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling" doc
... actually function as a single word, and we of-ten condense them into the virtual words “UK”and “w.r.t.”.In order to extract “words” from text streams,unsupervised word segmentation is an importantresearch ... word boundary betweentwo neighboring words, they can leverage only upto bigram word dependencies.In this paper, we extend this work to pro-pose a more efficient and accurate unsupervised word ... probabilities over words2?If a lexicon is finite, we can use a uniform priorG0(w) = 1/|V | for every word w in lexicon V .However, with word segmentation every substringcould be a word, thus the...
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Báo cáo khoa học: "A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers" pptx
... indicates the word spac-ing error rate of the user input in terms of thecharacter-unit precision, and the y-axis shows the word- unit precision of the output. Each graph de-picts the word- unit ... applications work under the as-sumption that a user input is error-free;thus, word segmentation (WS) for writtenlanguages that use word boundary mark-ers (WBMs), such as spaces, has been re-garded as ... eliminatesall spaces in the user input and re-insertsproper word boundaries. Unfortunately,such an approach often exacerbates the word spacing quality for user input, whichhas few or no spacing...
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Báo cáo khoa học: "Fully Unsupervised Word Segmentation with BVE and MDL" pdf
... obtained using the first 100,000words of the Chinese Gigaword corpus (Huang,2007), written in Chinese characters. The word boundaries specified in the Chinese Gigaword Cor-pus were used as a gold ... lex-icon, or set of words.More formally, the segmented corpus S is a listof words s1s2. . . sN. L(S), the lexicon implicitlydefined by S, is simply the set of unique words in S.The description ... consider S as being generatedby sampling words from a probability distributionover words in the lexicon, the number of bits re-quired to represent each word siin S is simply itssurprisal,...
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
... coherence.Hybrid word/ sub -word recognizers can produce asequence of sub -word units in place of OOV words.Ideally, the recognizer outputs a complete word forin-vocabulary (IV) utterances, and sub -word ... recognize words beyond their vocab-ulary, many of which are information richterms, like named entities or foreign words.Hybrid word/ sub -word systems solve thisproblem by adding sub -word units ... units to large vo-cabulary word based systems; new words canthen be represented by combinations of sub- word units. Previous work heuristically cre-ated the sub -word lexicon from phonetic rep-resentations...
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Tài liệu Báo cáo khoa học: "Yet Another Word Alignment Tool" docx
... with Yawat. As the mouse is moved over a word, th e word and all words linkedwith it are highlighted. The highlighting is removed when the mouse leaves the word in qu estion. This allows theannotator ... assoc iated words are shown only for one wor dat a time, as determined by the location of the mousepointer. When the mouse is moved over a word in thetext, the word and all the words associated ... for creating word alignments, one design objective was to minimizemouse travel required to align words. The inter-face therefore has no ‘link words’ button but usesmouse clicks on words directly...
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Tài liệu Báo cáo khoa học: "Guiding Statistical Word Alignment Models With Prior Knowledge" pdf
... am1specifies the indices of source wordsthat target words are aligned to.In an HMM-based word alignment model, sourcewords are treated as Markov states while targetwords are observations that are ... as 1.In building word alignment models, a special“NULL” word is usually introduced to address tar-get words that align to no source words. Since thisphysically non-existing word is not in the ... the only way to address theempty word issue.2.2.2 Utilizing Word Alignment StatisticsWhile the simple bag-of -word model puts allsource words and target words as rows in the ma-trix, another...
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