CA2461777A1 - Linguistically informed statistical models of constituent structure for ordering in sentence realization for a natural language generation system - Google Patents
Linguistically informed statistical models of constituent structure for ordering in sentence realization for a natural language generation system Download PDFInfo
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- CA2461777A1 CA2461777A1 CA002461777A CA2461777A CA2461777A1 CA 2461777 A1 CA2461777 A1 CA 2461777A1 CA 002461777 A CA002461777 A CA 002461777A CA 2461777 A CA2461777 A CA 2461777A CA 2461777 A1 CA2461777 A1 CA 2461777A1
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- constituent
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- statistical model
- ordering component
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Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/40—Processing or translation of natural language
- G06F40/55—Rule-based translation
- G06F40/56—Natural language generation
Abstract
The present invention is a tree ordering component within a sentence realization system which receives an unordered syntax tree and generates a ranked list of alternative ordered syntax trees from the unordered syntax tree. The present invention also includes statistical models of constituent structure employed by the tree ordering component in scoring the alternative ordered trees.
Claims (23)
1. A tree ordering component within a sentence realization system which receives an unordered syntax tree and generates a scored and ranked list of alternative ordered syntax trees from the unordered syntax tree, the tree ordering component comprising:
a statistical model of constituent structure conditioned on features, having a formal structure, and whose parameters are estimated using a statistical estimation technique; and a search component which receives the unordered syntax tree,, considers the set of possible alternative ordered syntax trees, and identifies which of the alternative ordered syntax trees has a highest probability according to the statistical model of constituent structure.
a statistical model of constituent structure conditioned on features, having a formal structure, and whose parameters are estimated using a statistical estimation technique; and a search component which receives the unordered syntax tree,, considers the set of possible alternative ordered syntax trees, and identifies which of the alternative ordered syntax trees has a highest probability according to the statistical model of constituent structure.
2. The tree ordering component of claim 1, wherein in the statistical model of constituent structure the features have been selected by an automatic feature selection technique.
3. The tree ordering component of claim 1, wherein in the statistical model of constituent structure the parameters of the model are estimated by language modeling techniques.
4. The tree ordering component of claim 1, wherein in the statistical model of constituent structure the parameters of the model are estimated by maximum entropy techniques.
5. The tree ordering component of claim 1, wherein in the statistical model of constituent structure the parameters of the model are estimated by decision tree learning techniques.
6. The tree ordering component of claim 1, wherein in the statistical model of constituent structure the formal structure of the model is a Markov grammar having a particular orientation.
7. The tree ordering component of claim 6, wherein in the statistical model of constituent structure the model having Markov grammar structure is a joint model of constituent structure.
8. The tree ordering component of claim 6, wherein in the statistical model of constituent structure the model having Markov grammar structure is a conditional model of constituent structure.
right-to-left Markov grammar.
right-to-left Markov grammar.
9. The tree ordering component of claim 1, wherein in the statistical model of constituent structure the formal structure of the model is a binary conditional model.
10. The tree ordering component of claim 1, wherein in the statistical model of constituent structure a feature set of the model includes one or more lexical features of constituents in the unordered tree.
11. The tree ordering component of claim 1, wherein in the statistical model of constituent structure a feature set of the model includes one or more syntactic features of constituents in the unordered tree.
12. The tree ordering component of claim 1, wherein in the statistical model of constituent structure a feature set of the model includes one or more semantic features of constituents in the unordered tree.
13. The tree ordering component of claim 12, wherein in the statistical model of constituent structure a feature set of the model includes the semantic relation between the head of a given constituent in the unordered tree and the daughters of that constituent.
14. The tree ordering component of claim 1, wherein in the statistical model of constituent structure a feature set of the model includes a length in words of a particular constituent of the unordered tree.
15. The tree ordering component of claim 1, wherein in the statistical model of constituent structure a feature set of the model includes features of a constituent set defined as follows:
for a particular constituent of the unordered tree, during the ordering search, relative to one ordering hypothesis, the daughters of said constituent already ordered.
for a particular constituent of the unordered tree, during the ordering search, relative to one ordering hypothesis, the daughters of said constituent already ordered.
16. The tree ordering component of claim 15, wherein in the statistical model of constituent structure the features of the constituent set of interest include a size of that set.
17. The tree ordering component of claim 15, wherein in the statistical model of constituent structure the features of the constituent set of interest include a total number of occurrences of each syntactic category in that set.
18. The tree ordering component of claim 8, wherein in the statistical model of constituent structure a feature set of the model includes features of a constituent set defined as follows:
for a particular constituent of the unordered tree, during the ordering search, relative to one ordering hypothesis, the daughters of said constituent that remain to be ordered.
for a particular constituent of the unordered tree, during the ordering search, relative to one ordering hypothesis, the daughters of said constituent that remain to be ordered.
19. The tree ordering component of claim 18, wherein in the statistical model of constituent structure the features of the constituent set of interest include a size of that set.
20. The tree ordering component of claim 18, wherein in the statistical model of constituent structure the features of the constituent set of interest include a total number of occurrences of each syntactic category in that set.
21. The tree ordering component of claim 9, wherein in the statistical model of constituent structure a feature set of the model includes features of a constituent set defined as follows:
for a particular constituent of the unordered tree, during the ordering search, relative to one ordering hypothesis, the daughters of said constituent that remain to be ordered.
for a particular constituent of the unordered tree, during the ordering search, relative to one ordering hypothesis, the daughters of said constituent that remain to be ordered.
22. The tree ordering component of claim 21, wherein in the statistical model of constituent structure the features of the constituent set of interest include a size of that set.
23. The tree ordering component of claim 21, wherein in the statistical model of constituent structure the features of the constituent set of interest include a total number of occurrences of each syntactic category in that set.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/396,549 US7346493B2 (en) | 2003-03-25 | 2003-03-25 | Linguistically informed statistical models of constituent structure for ordering in sentence realization for a natural language generation system |
US10/396,549 | 2003-03-25 |
Publications (2)
Publication Number | Publication Date |
---|---|
CA2461777A1 true CA2461777A1 (en) | 2004-09-25 |
CA2461777C CA2461777C (en) | 2012-06-26 |
Family
ID=32824957
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA2461777A Expired - Fee Related CA2461777C (en) | 2003-03-25 | 2004-03-23 | Linguistically informed statistical models of constituent structure for ordering in sentence realization for a natural language generation system |
Country Status (12)
Country | Link |
---|---|
US (1) | US7346493B2 (en) |
EP (1) | EP1462948B1 (en) |
JP (1) | JP2004295884A (en) |
KR (1) | KR101084786B1 (en) |
CN (1) | CN1542649B (en) |
AT (1) | ATE347711T1 (en) |
AU (1) | AU2004201089B2 (en) |
BR (1) | BRPI0400778A (en) |
CA (1) | CA2461777C (en) |
DE (1) | DE602004003513T2 (en) |
MX (1) | MXPA04002816A (en) |
RU (1) | RU2336552C2 (en) |
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- 2004-03-23 CA CA2461777A patent/CA2461777C/en not_active Expired - Fee Related
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CN1542649A (en) | 2004-11-03 |
KR101084786B1 (en) | 2011-11-21 |
EP1462948B1 (en) | 2006-12-06 |
DE602004003513D1 (en) | 2007-01-18 |
JP2004295884A (en) | 2004-10-21 |
RU2004108775A (en) | 2005-09-27 |
US7346493B2 (en) | 2008-03-18 |
AU2004201089B2 (en) | 2009-09-17 |
RU2336552C2 (en) | 2008-10-20 |
CA2461777C (en) | 2012-06-26 |
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