Incorporating pronunciations dictionary into microsoft word

In the dialog box that appears: At the top left, set the Font dropdown to " normal text " unless you want a specific font. At the bottom right, make sure the "from" dropdown is set to "Unicode hex ". At the top right, set the Subset dropdown to "Combining Diacritical Marks". In the center of the dialog, starting at the highlighted square, you'll find a series of the symbols you want -- accents, a macron, a breve, and so on. Each of these "combining" characters, when inserted, will combine with the character to its left.

One other note: While the Symbol dialog is open, you can click in the document and continue to edit, coming back to the dialog when needed. You don't have to keep closing and reopening the dialog to insert multiple symbols. How satisfied are you with this reply? Thanks for your feedback, it helps us improve the site.

Suzanne S. Barnhill MVP. You can find these in the Latin Extended-A character subset, as follows: Latin capital letter A with macron: Latin small letter a with macron: Latin capital letter E with macron: Latin small letter e with macron: Latin capital letter I with macron: A Latin small letter i with macron: B Latin capital letter O with macron: C Latin small letter o with macron: D Latin capital letter U with macron: A Latin small letter u with macron: B In that same character subset you'll find many other useful characters.

In reply to Suzanne S. Barnhill's post on October 14, Typically PDA's and the like utilize a miniature keyboard or a multi-tap data entry mechanism.

The miniature size of the input mechanism makes it impractical to enter large amounts of text, and it is desirable to minimize the number of keystrokes necessary to enter text. Prior approaches for minimizing the number of keystrokes have focused on so-called disambiguating methods in which the system refines its guess of the text being entered as the user enters each letter of text.

The prior art approach is akin to thumbing through a dictionary. Due to limitations in the size of the display, only the first n words are displayed. If the desired word happens to occur within the first n words then the user may select the desired word from the list of n words.

If the desired word does not appear, then the user enters the second letter, whereupon the system displays words beginning with the first two letters. If the desired word occurs within the displayed list of n words then the user may select the desired word from the list. If the desired word does not appear, then the user then enters the third letter, whereupon the system displays words beginning with the first three letters.

The user continues to enter letters until either the desired word is displayed in the list of n words or the word is fully entered. The aforementioned approach has not sufficiently reduced the number of keystrokes. Accordingly, what is needed is an improved method for reducing the number of keystrokes necessary to enter text. Disclosed is a device incorporating a predictive text entry mechanism, a predictive text input method and a computer program for performing the method. The device includes a display screen for displaying m-words of data, a text entry device for entering data, a processor receiving data from the text entry device and causing it to be displayed on the display screen, wherein upon activation said processor initializes a precursor to a predefined value.

The device is provided with a non-volatile memory storing a dictionary containing a plurality of entries, each such entry including an index, a candidate word, and a score. The processor selecting a list of n-number of candidate words from the dictionary whose index matches the precursor i. The processor causing m-number of candidate words from the list of candidate words to be displayed on the display screen.

The processor causing the display to prompt the user to select one of the displayed candidate words or enter a desired word using said text entry device. In response to the selection of a candidate word, the processor updates the precursor appending the selected candidate word to the end of the precursor, deleting the leading word, selecting a new list of candidate words whose index word matches the precursor, and causing the display to prompt the user to either select one of the displayed candidate words or enter a desired word using the text entry device.

The present invention provides an efficient method for inputting text, and is particularly suited for cellular telephones, handheld computers such as personal digital assistants, and other devices requiring data entry.

The present invention is indifferent to the specific method for inputting text. The basic concept underlying the present invention is that the next item of text is predicted based on the preceding word or words of text. According to a first embodiment, the system provides a list of candidate words for the next word of text based on the preceding word or delimiter.

The system 10 of the present invention includes an input device which may be a keypad, keyboard, touch sensitive screen or the like which hereinafter will be referred to as keyboard The system 10 further includes a display for displaying the text entered as well as an m word list of predicted words, the screen may be an LCD screen or the like, and in the case of a touch sensitive screen the display may serve a dual purpose both as a display and as the keyboard The present invention will work with any means for inputting text, and any means for displaying text.

As further illustrated in FIG. The system 10 may include a plurality of application programs , an application for decoding handwriting into text , an application which displays text and one or more dictionaries It should be appreciated that the text recognition application , the display application , and one or more of the dictionaries may be implemented as firmware or microcode stored on a non-volatile memory such as an EPROM, EEPROM or the like.

The present system is realized as software or firmware or the like, architecturally located between the operating system of the computer and the application that receives text as input, e. The system 10 is language specific and has one or more dictionaries or vocabulary modules. The dictionary and keyboard are language specific.

However, the software may allow for switching dictionaries and thus switching languages. A key aspect of the invention relates to its ability to predict the next word the user will input based on the preceding words or delimiters which will hereinafter be referred to as the context or precursor.

It is notable, that the context may also arise from the type of application receiving the text or the type of text field receiving the text. In the first case, the application may give a hint to what kind of style the user will use SMS, short message service: colloquial writing vs.

This information may be used to activate a different dictionary containing all names, addresses, cities etc. The system 10 predicts the next word the user will enter based on the context, and displays a list of candidate words.

The number of candidate words displayed is dependent upon the size and resolution of the display the screen's real estate , and the font size in which the text is displayed. Moreover, the system 10 may optionally be configured to only display candidate words whose score exceeds a threshold value, further limiting the number of candidate words displayed.

The device includes display having a text edit field showing a text string entered or selected by the user. The display further includes a field displaying a list of candidate words, and optionally a field displaying a virtual keyboard.

It is important to note, that the list may take different forms of presentation. For example, it may be realised as a circle on which the words are presented. This is illustrated in FIG. This circle may follow the position in the text where the current input is directed to this is called cursor which usually takes the visual form of a blinking vertical bar.

One of the important aspects of the invention is that the list of candidate words is context dependent. The system 10 selects candidate words by looking at the immediately preceding word or words which will be termed a precursor. The number of words defining a precursor may vary.

As will be described below in further detail, the system may iteratively reduce the size measured in words of the precursor in order to obtain a desired number of candidate words.

For example, a three word precursor may have two corresponding candidate words. If the display has room for 10 words, the system may obtain additional candidate words by reducing the size of the precursor. A two word precursor may for example have four corresponding candidate words, and a one word precursor may have ten corresponding candidate words.

The system 10 includes at least one dictionary including a list of candidate word entries; each candidate word entry includes an index and a candidate word.

It should be understood that a given precursor may have many candidates. Thus, the same index may appear in multiple candidate word entries in the dictionary.

Each candidate word entry further includes a score indicative of the frequency of occurrence. As will be explained below, the dictionary stored a plurality of candidate word entries. Each candidate word entry including an index, a candidate word, and a score. The size measured in words of the index may vary from entry to entry.

Thus the dictionary may store candidate word entries having a one word index, and entries having a two word index, and entries having a three word index, etc.

In this manner, the system may use a one word precursor or a two word precursor etc. Optionally, the score may be a normalized number between 0 and 1. The method and system of the present invention will now be explained with reference to a bi-gram or two word embodiment in which the precursor is the immediately preceding word or delimiter. Similarly, a four-gram embodiment the precursor consists of the three immediately preceding words.

It should be understood that the teachings of the present invention may be implemented using any number of words in the precursor. The size of the index stored in the dictionary must correspond to the size of the precursor.

The dictionary includes a plurality of candidate word entries; each candidate word entry includes an index, and a candidate word. It should be appreciated that a single precursor may have multiple candidate words. The index is at least one word or delimiter in length, but may consist of two or more words. It should be appreciated that the precursor may be enlarged to include any number of words or delimiters. For ease of explanation the present example uses a one word precursor.

As noted above, each entry in dictionary includes a score indicative of the frequency of occurrence, i. A given precursor may have multiple candidate words, and the score associated with each candidate word may or may not be the same.

Each time the user enters or selects a precursor the system 10 searches the dictionary for corresponding candidate words. The system 10 ranks the candidate words according to their score, and displays the first m number of candidate words in field The system 10 may treat the initial state before any word has been entered in the same way it reacts when the precursor is a delimiter such as a period.

In this manner the system 10 may be configured to provide candidate words in the initial state before the user has entered a first character of the text. The system 10 may be self-training in the sense that new phrases and their corresponding scores may be dynamically added to the dictionary Moreover, the score of existing phrases may dynamically update to reflect changes in the frequency of usage. According to a preferred embodiment, the system 10 is provided with a robust dictionary such that the full benefit of the system is immediately available to the user.

Moreover, if the system 10 permits the score of existing phrases to dynamically update then the dictionary will self-optimize to reflect the style, diction, and vocabulary of the user. Thus, even if the dictionary is initially empty, the system 10 will compile its own dictionary reflective of the user's vocabulary, diction and style.

An initial dictionary may be compiled by examining a body of text for x-word phrases, and ranking the frequency of the x-word phrases. In the bi-gram embodiment of the present example x will equal to 2. Ideally the body of text used to compile the dictionary will contain a rich vocabulary and varied examples of style and diction. The system 10 is especially useful for languages for which it is complex to input words, e. The system 10 may thus operate on full symbols or on morphemes one or more morphemes make up a word of a language or even on syllables e.

Hiragana or Katakana in Japanese. In the preceding example, the precursor was the immediately preceding word or delimiter.

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