Báo cáo khoa học: "A Syllable Based Word Recognition Model for Korean Noun Extraction" potx

... conju- gated forms of verbs. Syllable statistics have been also used for automatic word spacing (Shim, 1996; Kang and Woo, 2001; Lee et al., 2002). The syllable based word recognition model is rep- resented ... suitable for the word recognition model. The corpus can be modified through the fol- lowing steps: Step 1 For a given Eojeol, segment word bound- aries and as...

Ngày tải lên: 17/03/2014, 06:20

... is useful for addressing the search and modeling problems for MT ordering. 4 A Global Order Model for Target Dependency Trees In the rest of the paper we present our new word or- der model and ... local tree order model outperformed either model by a large margin. This indicates that combin- ing syntactic (from the LTOM model) and surface- based (from the language model) i...

Ngày tải lên: 20/02/2014, 12:20

... matching with the S Noun and verb counts in common, separately. –When words don’t match we attempt matching synonyms in WordNet for most common senses. –Verb match statistics using WordNet’s cause ... Summarization SSL. of the models. As more labeled data is introduced, Hybrid SVM models’ performance increase dras- tically, even outperforming the state-of-the art MRR performance on TREC04...

Ngày tải lên: 20/02/2014, 07:20

... L before , L target , and L after , which correspond to the parts of the list that is before, at, and after the target word, respectively. Initialize chunk-open to FALSE for L sub in {L before , ... target word. When the target word is a verb, the baseline puts FE brackets around the words included in each of these subtrees 1 . When the target is a noun, we also bracket the target wo...

Ngày tải lên: 20/02/2014, 12:20

... ob- tained using the bigram model. Because the language model is responsible for generating the well-formed sentence X, it is reasonable to ex- pect that a language model that can model more global properties ... speech recognition and machine translation, and in these applications syntax- based language models P(Y ) yield state-of-the- art performance, so we use one such model...

Ngày tải lên: 17/03/2014, 06:20

... . 3. For each pair in the training corpus, For all , such that Str , Let cnt = P Str P For , += cnt += cnt += cnt 4. For each , , and , 5. Repeat steps 2-4 for several iterations. A straightforward ... the model, each node was re-labelled with the POS of the node’s head word, and some POS labels were collapsed. For example, labels for different verb endings (such as VBD for...

Ngày tải lên: 31/03/2014, 04:20

... similar and stable performance ranks in different domains and the MaxEnt -based reordering models achieve the best performance among them. Using all features for the MaxEnt model (lex + col) is ... entropy based reordering model is em- bedded inside a log-linear phrase -based model of translation. Following the Bracketing Transduc- tion Grammar (BTG) (Wu, 1996), we built a CKY-sty...

Ngày tải lên: 08/03/2014, 02:21

... the need for English pronunciations. The phonetics -based and spelling -based models have been linearly combined into a single transliteration model in (Al-Onaizan and Knight, 2002b) for transliteration ... transformation rules to do back-transliteration. (Stalls and Knight, 1998) adapted this approach for back transliteration from Arabic to English for English names. A s...

Ngày tải lên: 17/03/2014, 04:20

... models classify the word histories by their last N - 1 words. N varies from 2 to 4 and the trigram model P{wn [Wn-2, wn-1} is commonly used. Al- though these simple models perform surpris- ingly ... wi denotes the i-th word in the text. Even for a small vocabulary, the space of word histories is so large that any attempt to estimate the conditional probabilities for eac...

Ngày tải lên: 17/03/2014, 07:20

... LLCCM outperforms CCM by 13.9% (unlabeled) bracketing F1 and, unlike CCM, outperforms a right-branching baseline on sentences longer than 15 words. 17 2 Model The CCM is a generative model for the ... using a log-linear model: P t (y|x) = exp w, f xyt   y  exp  w, f xy  t  (1) This technique for parameter transformation was shown to be effective in unsupervised models for p...

Ngày tải lên: 23/03/2014, 14:20