1. A method comprising:
annotating data by inserting, via a processor and via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and
iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach.
2. The method of claim 1, wherein the boundary tags comprise one of a phrase boundary tag, a sentence boundary tag, and a paragraph boundary tag.
3. The method of claim 1, further comprising inserting an edit tag in the annotated data.
4. The method of claim 3, wherein the wherein the edit tag identifies a portion of the speech utterance text to be removed based on repeated words which do not contribute to language understanding.
5. The method of claim 1, further comprising inserting conjunction tags within the unedited text which identify, without relying on punctuation cues, coordinating conjunctions selected from a list
6. The method of claim 5, wherein the list comprises {and, but, for, nor, or, so, yet}.
7. The method of claim 1, wherein the annotating of the data further comprises identifying clauses within the speech utterance text based on the boundary tags.
8. A system comprising:
a processor; and
a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
annotating data by inserting, via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and
iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach.
9. The system of claim 8, wherein the boundary tags comprise one of a phrase boundary tag, a sentence boundary tag, and a paragraph boundary tag.
10. The system of claim 8, the computer-readable storage medium having additional instructions stored which result in operations comprising inserting an edit tag in the annotated data.
11. The system of claim 10, wherein the wherein the edit tag identifies a portion of the speech utterance text to be removed based on repeated words which do not contribute to language understanding.
12. The system of claim 8, the computer-readable storage medium having additional instructions stored which result in operations comprising inserting conjunction tags within the unedited text which identify, without relying on punctuation cues, coordinating conjunctions selected from a list
13. The system of claim 12, wherein the list comprises {and, but, for, nor, or, so, yet}.
14. The system of claim 8, wherein the annotating of the data further comprises identifying clauses within the speech utterance text based on the boundary tags.
15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:
annotating data by inserting, via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and
iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach.
16. The computer-readable storage device of claim 15, wherein the boundary tags comprise one of a phrase boundary tag, a sentence boundary tag, and a paragraph boundary tag.
17. The computer-readable storage device of claim 15, the computer-readable storage medium having additional instructions stored which result in operations comprising inserting an edit tag in the annotated data.
18. The computer-readable storage device of claim 17, wherein the wherein the edit tag identifies a portion of the speech utterance text to be removed based on repeated words which do not contribute to language understanding.
19. The computer-readable storage device of claim 15, the computer-readable storage medium having additional instructions stored which result in operations comprising inserting conjunction tags within the unedited text which identify, without relying on punctuation cues, coordinating conjunctions selected from a list
20. The computer-readable storage device of claim 19, wherein the list comprises {and, but, for, nor, or, so, yet}.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. An all-electric glass-melting deep furnace comprising:
a bottom; and
a side wall constructed by piling up fireproof bricks on a perimeter of the bottom, said side wall extending upwardly from the perimeter of the bottom, inclining inwardly, thereby being substantially trapezoidal in shape as viewed from the side, and thereby defining an inside lateral dimension of the bottom;
wherein heating electrodes jut from an inner surface of the side wall and pass a current through molten glass filled inside the side wall, a height of the side wall being at least twice that of the inside lateral dimension of the bottom, and distances from the heating electrodes to the bottom of the furnace being at least equal to the inside lateral dimension of the bottom.
2. The all-electric glass-melting deep furnace according to claim 1, wherein said side wall extends upwardly from the perimeter of the bottom and is rectangular in shape as viewed from the side.
3. The all-electric glass-melting deep furnace according to claim 1, wherein auxiliary electrodes for heating the molten glass by generating smaller amount of heat than said heating electrodes are provided below the heating electrodes, respectively.
4. The all-electric glass-melting deep furnace according to claim 1, wherein said heating electrodes are placed at different levels from the bottom of the furnace, respectively.
5. The all-electric glass-melting deep furnace according to claim 1, wherein a feeder for discharging the molten glass from the furnace is provided at a lower position than a surface level of the molten glass, depending on a depth of the furnace.
6. The all-electric glass-melting deep furnace according to claim 5, wherein said molten glass is discharged from said feeder through a throat portion formed in the center of the bottom of the furnace.
7. The all-electric glass-melting deep furnace according to claim 1, wherein auxiliary electrodes are provided for heating the molten glass by generating a smaller amount of heat than said heating electrodes.
8. The all-electric glass-melting deep furnace according to claim 1, wherein said heating electrodes are placed at different levels from the bottom of the furnace.
9. The all-electric glass-melting deep furnace according to claim 5, wherein said feeder for discharging the molten glass from the bottom of the furnace is provided at a lower position than a surface level of the molten glass, depending on a depth of the furnace.
10. The all-electric glass-melting deep furnace according to claim 9, wherein said molten glass is discharged from said feeder through a throat portion formed in the center of the bottom of the furnace.