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The system in accordance with claim 2, whereby the vector map is a Random Indexing Term-Vector Map. The Company has the proper to cancel or withdraw this supply or change any of its terms at any time with out notifying or giving a reason. The company additionally reserves the right to not enable certain account holders to participate on this promotion. Receive your bonus factors in your Promo Code Store account inside an hour after the final TOTO match has ended. Before a 1xTOTO draw starts, confirm your free TOTO prediction by putting a bet on a sporting event. The minimal stake to confirm your prediction is 3.47 CAD, and the chances should be 2 or larger.

The newly ordered listing 6 can then be presented to the person for consumer choice. In the present method instance, say the user intended to enter the term ‘the’ and thus selects this term for entry into the system. ‘the’ is passed to the predictor 1, along with the phrases of the previous text sequence, to generate new textual content predictions 3.

The technique according to claim 11, wherein once a person has entered an entire textual content sequence, the strategy additional contains including the finished text sequence to the set of paperwork. The method based on declare 17, further comprising modifying the probabilities associated with every text prediction that has an equal in the vector map on the premise of the similarity values. The method according to claim eleven, wherein the vector map is a Random Indexing Term-Vector Map, and producing a vector map contains producing context vectors utilizing Random Indexing. The system according to claim four, whereby if the text prediction is a phrase, the processor is configured to generate a Prediction Vector comprising a median of the context vectors corresponding to each time period inside the phrase. The system based on claim 3, wherein the processor is configured to generate a set of Prediction Vectors, comprising a context vector retrieved from the vector map for each text prediction that has an equal in the vector map. It shall be appreciated that this description is by method of instance solely; alterations and modifications may be made to the described embodiment with out departing from the scope of the invention as outlined in the claims.

As the skilled particular person will realise, this implementation could be utilized to a hierarchal system comprising multiple systems as described by the present invention. In this case, there might be a number of predictors and a quantity of Document Delimited Text Sources 4. The reordered predictions 6 generated by every system (as proven in FIG. 1), can be mixed to offer a last reordered prediction set by inserting each of the reordered prediction units 6 into an ordered associative construction and reading the p most possible values. Although the popular technique used to generate context vectors and to map phrases in a set of documents into a vector area is Random Indexing, the present invention isn't restricted to the use of Random Indexing.

The bets are cancelled in case if there's some incorrectness within the names of the players, teams, there is a wrong coefficient, a mistaken total, a mistaken handicap, and so on. If the bets are “Express””Chain” and “System”, the bets with incorrect information are calculated with 1 coefficient. There could additionally be various reasons for altering a successful limit, depending on the supply and demand for a wager. Please note that successful limits can also be lowered for a quick time when our bookmakers replace the odds. It is usually attainable to put the identical wager with greater stakes shortly thereafter.

The present system and technique subsequently provides a extra accurate technique of generating textual content predictions. The current invention provides a language model based textual content prediction system for the adaptive reordering of textual content prediction parts. The system utilises a vector area approach, preferably Random Indexing, to change chance values assigned to textual content predictions based on a probability that the text predictions belong within sections of text entered by a person. As every new doc is accomplished, it's assigned a brand new index vector by the Random Indexing Term-Vector Map 7 which is then added to the context vectors for all phrases contained in that document.

The system due to this fact generates a modified chance worth for a given predicted term/phrase, primarily based on the probability that the term/phrase belongs within the current context. The system makes use of the modified probabilities to reorder and/or select the text predictions generated by a text prediction engine. The generated textual content predictions can then be displayed for consumer choice to enter textual content into an electronic device. A predicted time period which is chosen by a consumer from the reordered record 6 may be entered into the system. The entered time period is a part of the information handed to the predictor 1 to generate new textual content predictions three.

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