using word support model

... word support model (WSM) that is able to im- prove our WP-identifier by achieving better identified character ratio and STW accuracy on the identified poly-syllabic words with the same word- pair ... directions. 2 Development of Word Support Model The system dictionary of our WSM is comprised of 82,531 Chinese words taken from the CKIP dictionary and 15,946 unknown words auto- found in the ... compute the word sup- port degree (WS degree) for each dis- tinct word of the WP set. The WS degree is defined to be the total number of the word found in the WP set. Finally, ar- range the words...

Ngày tải lên: 20/02/2014, 12:20

Ngày tải lên: 23/03/2014, 16:20

Ngày tải lên: 29/04/2013, 14:07

Ngày tải lên: 05/09/2013, 14:58

... Word Bạn có biết là bạn hoàn toàn có thể bổ sung thêm một máy tính vào trong Word không? Đúng hoàn toàn có thể và sẽ giúp bạn thêm phần thuận lợi trong công việc hơn rất nhiều. Trong MS Word ... File name) để kích hoạt tính năng so sánh văn bản; nếu không Word sẽ giúp bạn hợp nhất 2 văn bản. Quá trình còn lại là giống với Word 2000. Split – So sánh nhiều phần của văn bản Văn bản của ... ngang cho phép bạn chỉ định khoảng cách chia đôi màn hình trong Word. Hãy đặt sao cho thật dễ nhìn rồi nhắp chuột trái 1 lần. Word đã bị chia làm 2 cửa sổ riêng biệt và bạn có thể duyệt văn...

Ngày tải lên: 09/09/2013, 17:10

... in Word can be used in Outlook, too.   Outlook has supported the Word editor since Office 97, but it was buggy, crashed often, and was the cause of many resource leaks. In short, using Word ... settings, including fonts and colors. [ Team LiB ]     Using Word As the Email Editor The Word editor provides you with a full-featured word processor for composing your email. Although it might ... and to choose fonts and colors for new mail and replies (see Figure 5.4). When Word is your editor, you can let Word choose a new color for each reply, making it easier to read a long thread....

Ngày tải lên: 28/10/2013, 13:15

... Data and Method All the models in this paper are interpolated mod- els built using the counts obtained from the Web 1T dataset and evaluated on the million word Brown corpus using cross entropy (bits ... chosen for each n-gram order. Using this formulation as an interpolated 5- gram language model gives a cross entropy of 8.05 bits on Brown. 4.5 Dirichlet with KN Back-Off Using a modified back-off ... The Web 1T dataset has a 13 million word vocabulary consisting of words that appear 100 times or more in its corpus. 769 sentences in Brown that contained words outside this vocabulary were eliminated...

Ngày tải lên: 20/02/2014, 09:20

... performance. 3.2 Translation Results Our baseline word alignment model is the word- to- word Hidden Markov Model (Vogel et al., 1996). Basic models in two translation directions are trained simultaneously ... Bag-of -word Model One method we investigate is a simple bag-of- word model as in monolingual LSA. We treat each sentence pair as a document and do not distin- guish source words and target words ... 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 this physically non-existing word is not in the...

Ngày tải lên: 20/02/2014, 12:20

... best 30 best Lang Model (Permutations) 58.8 71.2 Lang Model (TargetProjective) 83.9 95.0 Local Tree Order Model 75.8 87.3 Local Tree Order Model + Lang Model 92.6 98.0 Re-ranking Models Features ... our 15 First-pass models Model BLEU 1 best 30 best Baseline MT System 33.0 – Lang Model (Permutations) 26.3 28.7 Lang Model (TargetCohesive) 31.7 35.0 Local Tree Order Model 27.2 31.5 Local Tree Order Model ... (Koehn, 2004)) and language model- like features results in a model which significantly outperforms models using only some of the information sources. We also evaluate the contribution of our model to the performance...

Ngày tải lên: 20/02/2014, 12:20

... approach to coreference resolu- tion: We first label the corpus using the unsuper- vised model A-INF and then train the supervised model SUCRE on this automatically labeled train- ing corpus. Even ... hu- Unlabeled Data Unsupervised Model (A-INF) Automatically Labeled Data Supervised Model (SUCRE) Figure 1: System Architecture of UNSEL (Unsupervised Self-Trained Model) . man labeling. Thus, it ... Al- ternatively, a model that determines whether a mark- able is coreferent with a preceding cluster can be used. For both pair-based and cluster-based models, a well established feature model plays...

Ngày tải lên: 07/03/2014, 22:20

... the Spanish words as well. We include a Spanish word for a sense if is the translation of any English word in . 3.2 Building the Concept Model Unlike the Sense Model, the Concept Model does not ... the WordNet 1.7 inventory. After pruning stopwords, we end up with 16,186 English words, 31,862 Span- ish words and 2,385,574 instances of 41,850 distinct translation pairs. The English words ... the model. Below we summarize the re-estimation steps for each model. 4.1 EM for the Sense Model follows similarly. 4.2 EM for the Concept Model and follow similarly. 4.3 Initialization of Model...

Ngày tải lên: 08/03/2014, 04:22

... s.total _word_ cost - sum_of _word_ cost(s); if (best_total _word_ cost > s.total _word_ cost) [ best_total _word_ cost - s.total _word_ cost; selected - s; }} foreach s (sequences) [ if (s.total _word_ cost ... best_total _word_ cost) { sequcences.delete(s); }] foreach s (sequences) [ s.number_of_2character _word - count_2character _word( s); if (best_number_of_2character _word < s.number_of_2character _word) ... s.number_of_2character _word) { best_number_of_2character _word - s.number_of_2character _word; selected - s; ]] return selected; 413 Japanese Morphological Analyzer using Word Co-occurrence JTAG- Takeshi FUCHI...

Ngày tải lên: 08/03/2014, 05:21

... Japanese word processing terminal. Since a Japanese- language sentence is not separated into words, the morphological analyzer segments the sentence to get the list of words, using the word dictionary. ... and generates a word list. This word list is then passed to the model- based parser. MODEL BASED PARSER In its first phase the parser generates 'bunsetsu' from the word list. The ... the list of words, using the word dictionary. The model- based parser analyzes the word list, and semantically interprets it, using the world model as a basis. The result is the "meaning...

Ngày tải lên: 09/03/2014, 01:20

... khi bạn đóng Word. Word sẽ tự động đóng tất cả các văn bản đang mở trước khi tự nó đóng lại.  Cách đóng Word 1. Nhấn vào nút Office ở góc trên bên trái. 2. Nhấn vào Exit Word. Nếu Word chứa ... Office. 4. Nhấn vào bảng chọn Microsoft Office Word 2007. Word được mở ra ngay lúc này. 1.1.2 Đóng Word Khi bạn đã hoàn thành công việc trong Word, bạn nên đóng chương trình lại để tiết kiệm ... đều làm việc như nhau trong các chương trình. 1.1.1 Mở Word Bạn có thể mở Word bằng nhiều cách vì có thể có các biểu tượng tắt tới Word, ví dụ trên màn hình máy tính và trên thanh công cụ...

Ngày tải lên: 14/03/2014, 16:51

... algorithms, code documentation and mailing list archives. 2 Word Space Models Word space models are based on the contextual distribution in which a word occurs. This ap- proach has a long history in linguistics, ... of the words that appear in them. Co-occurrence models build the vector space using the distribution of co-occurring words in a context, which is typically defined as a re- gion around a word or ... Features are com- monly word co-occurrences, but more advanced models may perform a statistical analysis to se- lect only those features that best distinguish word meanings. Other models approximate...

Ngày tải lên: 17/03/2014, 00:20

... performance. Although the word recognition model is designed to extract nouns in this paper, the model itself is meaningful and it can be applied to other fields such as language modeling and automatic word spacing. Furthermore, ... se- quence of words and word tags. Among the words recognized through this process, we can extract nouns by just selecting words tagged as nouns. 5 4 Constructing training data Our model is a supervised ... 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 assign word tags to each word. Step 2 For...

Ngày tải lên: 17/03/2014, 06:20

... Statistical models We construct two statistical models: one for speech act analysis and the other for discourse structure analysis. We integrate the two models using maximum entropy model. In ... 1E. 2.2.2 Statistical model for discourse structure analysis We construct a statistical model for discourse structure analysis using DSBs. In the training phase, the model transforms discourse ... Abstract We propose a statistical dialogue analysis model to determine discourse structures as well as speech acts using maximum entropy model. The model can automatically acquire probabilistic...

Ngày tải lên: 17/03/2014, 07:20

... truc tions byusin gLITPACK model After arranging shoreline protected constructionssystem,modelingstudyshoreline is implemented by using LITPACK model to simulate, calculate ... breakwaters.Results derivedfromLITPACK model showthat  theyare reliableenoughandsuitableforuseasremedialprotectingmeasures. Keywords:LITPACK model; Hydrodynamic‐lithologic;Simulating,Alongtime;Shorelinechange. 1.IntroductionofLITPACKNumerical Model *  1.1. Model ofLITPACK LITPACK, ... wave frequency and convert it into input wave data by using LITCONVmodule[3]. ‐ Convert input sediment data by using LITTABLmodule. Table1.Waveheightandwaveperiodduringyear[4]. Month...

Ngày tải lên: 22/03/2014, 12:20

Ngày tải lên: 22/03/2014, 18:20

Ngày tải lên: 23/03/2014, 00:20