663 word games with animals

... 3.) Find the animals home and try to find which one lives at the White family ’s house Blues Blacks Greens Whites

Ngày tải lên: 28/08/2016, 06:36

Ngày tải lên: 29/03/2014, 03:03

Ngày tải lên: 29/03/2014, 03:14

Ngày tải lên: 29/03/2014, 03:15

Ngày tải lên: 29/03/2014, 03:15

Ngày tải lên: 26/07/2014, 14:20

Ngày tải lên: 07/07/2016, 18:17

Ngày tải lên: 29/08/2016, 18:09

... Word Games: Hangman and Word Search Using letters and words for games has been popular since the mid-20th century with board games, such as Scrabble, and paper games, such as crosswords and word ... 318 Word Games: Hangman and Word Search newWord.x = 400; newWord.y = i*spacing+offset.y; newWord.width = 140; newWord.height = spacing; newWord.text = usedWords[i...

Ngày tải lên: 29/09/2013, 20:20

... incorporate synonym information effectively into word alignment models To confirm the effect of the synonym pair model with latent topics, we also tested GIZA++ and HMBiTAM with what we call Synonym ... latent topics between the synonym pair model and the word alignment model, the synonym information incorporated in the synonym pair model is used directly for training word...

Ngày tải lên: 20/02/2014, 04:20

... many-to-one word alignments, where each source word is aligned with zero or one target words, and therefore each target word can be aligned with many source words Each source word is labelled with the ... one-to-many alignments, where each target word is aligned with zero or more source words Many-to-many alignments are recoverable using the standard techniques for superimpo...

Ngày tải lên: 20/02/2014, 11:21

... ingredients: feature selection and order identification Feature selection was formalized as a constrained optimization problem, the output of which was a set of important features to determine word senses ... counting second order co-occurrence was 50 words 3.2 Evaluation method for feature selection For evaluation of feature selection, we used mutual information bet...

Ngày tải lên: 20/02/2014, 16:20

... etc ambiguity and to guess such attributes for unknown words Discussion and Future Goals We have shown a uniform approach to the dual problem of POS disambiguation and unknown word guessing as ... highcoverage lexicon and a set of empirically induced decision trees into a POS tagger achieving ~5,5% error rate for POS disambiguation and ~16% error rate for unknown wo...

Ngày tải lên: 22/02/2014, 03:20