Abstract: A system and method identify base noun phrases (baseNP) in a linguistic input. A part-of-speech tagger identifies N-best part-of-speech tag sequences corresponding to the linguistic input. A baseNP identifier identifies baseNPs in the linguistic input using a unified statistical model that identifies the baseNPs, given the N-best POS sequences.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text. The reading wizard automatically determines whether the selected one word comprises part of a phrase; allows the user to choose whether to view a translation of a single word or a translation of a phrase that includes the single word in response to selection by the user of the single word. The multiple translations are presented in a pop-up window, in the form of a scrollable box and is scrollable, located near the selected text to minimize distraction of the user.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text. The reading wizard automatically determines whether the selected one word comprises part of a phrase; allows the user to choose whether to view a translation of a single word or a translation of a phrase that includes the single word in response to selection by the user of the single word. The multiple translations are presented in a pop-up window, in the form of a scrollable box and is scrollable, located near the selected text to minimize distraction of the user.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text, and view multiple translations of the selected text in the user's own native language. The multiple translations are presented in a pop-up window, in the form of a scrollable box and is scrollable, located near the selected text to minimize distraction.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text. The reading wizard automatically determines whether the selected one word comprises part of a phrase; presents one or more translations of at least the selected word in a native language or, if the selected word comprises part of a phrase, presents at least one translation of the phrase in a native language. The multiple translations are presented in a pop-up window, in the form of a scrollable box and is scrollable, located near the selected text to minimize distraction of the user.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text, and view a translation of the selected text in the user's own native language. The translation is presented in a window or pop-up box located near the selected text to minimize distraction.

Abstract: A system and method identify base noun phrases (baseNP) in a linguistic input. A part-of-speech tagger identifies N-best part-of-speech tag sequences corresponding to the linguistic input. A baseNP identifier identifies baseNPs in the linguistic input using a unified statistical model that identifies the baseNPs, given the N-best POS sequences.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text, and view a translation of the selected text in the user's own native language. The translation is presented in a window or pop-up box located near the selected text to minimize distraction.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text, and view a translation of the selected text in the user's own native language. The translation is presented in a window or pop-up box located near the selected text to minimize distraction.

Abstract: A system and method identify base noun phrases (baseNP) in a linguistic input. A part-of-speech tagger identifies N-best part-of-speech tag sequences corresponding to the linguistic input. A baseNP identifier identifies baseNPs in the linguistic input using a unified statistical model that identifies the baseNPs, given the N-best POS sequences.

Abstract: A system and method identify base noun phrases (baseNP) in a linguistic input. A part-of-speech tagger identifies N-best part-of-speech tag sequences corresponding to the linguistic input. A baseNP identifier identifies baseNPs in the linguistic input using a unified statistical model that identifies the baseNPs, given the N-best POS sequences.

Abstract: A computer-aided reading system offers assistance to a user who is reading in a non-native language, as the user needs help, without requiring the user to divert attention away from the text. In one implementation, the reading system is implemented as a reading wizard for a browser program. The reading wizard is exposed via a graphical user interface (UI) that allows the user to select a word, phrase, sentence, or other grouping of words in the non-native text, and view a translation of the selected text in the user's own native language. The translation is presented in a window or pop-up box located near the selected text to minimize distraction.