TERM SYNONYM ACQUISITION METHOD AND TERM SYNONYM ACQUISITION APPARATUS

• US 20150006157A1
• Filed: 03/14/2012
• Published: 01/01/2015
• Est. Priority Date: 03/14/2012
• Status: Abandoned Application

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: Andrade Silva, Daniel Georg, Ishikawa, Kai, Tsuchida, Masaaki, Onishi, Takashi
• Application Number:
  US14/376,517
• Publication Number:
  US 20150006157A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/3337 Translation of the query language, e.g. Chinese to English
• CPC Class Codes: G06F 16/3338 Query expansion
• CPC Class Codes: G06F 40/247 Thesauruses; Synonyms
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30

Abstract

A term synonym acquisition apparatus includes: a first generating unit which generates a context vector of an input term in an original language and a context vector of each synonym candidate in the original language; a second generating unit which generates a context vector of an auxiliary term in an auxiliary language that is different from the original language, where the auxiliary term specifies a sense of the input term; a combining unit which generates a combined context vector based on the context vector of the input term and the context vector of the auxiliary term; and a ranking unit which compares the combined context vector with the context vector of each synonym candidate to generate ranked synonym candidates in the original language.

Claims

1. A term synonym acquisition apparatus comprising:

a first generating unit which generates a context vector of an input term in an original language and a context vector of each synonym candidate in the original language;

a second generating unit which generates a context vector of an auxiliary term in an auxiliary language that is different from the original language, where the auxiliary term specifies a sense of the input term;

a combining unit which generates a combined context vector based on the context vector of the input term and the context vector of the auxiliary term; and

a ranking unit which compares the combined context vector with the context vector of each synonym candidate to generate ranked synonym candidates in the original language.

2. The apparatus according to claim 1, wherein the combining unit translates the context vector of the auxiliary term in the auxiliary language to a context vector in the original language, and combines the context vector of the input term and the translated context vector in the original language into the combined context vector.

3. The apparatus according to claim 2, wherein the combining unit combines the context vectors in the original language using degree of correspondence between a word in the original language and a word in the auxiliary language.

4. The apparatus according to claim 3, wherein the degree of correspondence is a probability of translating the word in the original language into the word in the auxiliary language and back to the word in the original language.

5. The apparatus according to claim 2, further comprising an estimation unit which estimates a translation probability for a word in the auxiliary language to a word in the original language,

wherein the combining unit uses the estimated translation probability to translate the context vector of the auxiliary term in the auxiliary language to the context vector in the original language.

6. The apparatus according to claim 1, further comprising a selection unit which compares the context vector of the input term with each of context vectors of translations of the input term to select the auxiliary term out of the translations of the input term.

7. The apparatus according to claim 1, further comprising a selection unit which generates a plurality of sets of terms in the auxiliary language, where the sets represent different senses of the input term, and selects a set specified by a user out of the sets of terms, as the auxiliary term.

8. The apparatus according to claim 1, wherein the combining unit generates the combined context vector so that the combined context vector is biased towards the sense specified by the auxiliary term.

11. The apparatus according to claim 3, further comprising an estimation unit which estimates a translation probability for a word in the auxiliary language to a word in the original language,

wherein the combining unit uses the estimated translation probability to translate the context vector of the auxiliary term in the auxiliary language to the context vector in the original language.

12. The apparatus according to claim 4, further comprising an estimation unit which estimates a translation probability for a word in the auxiliary language to a word in the original language,

wherein the combining unit uses the estimated translation probability to translate the context vector of the auxiliary term in the auxiliary language to the context vector in the original language.

13. The apparatus according to claim 2, further comprising a selection unit which compares the context vector of the input term with each of context vectors of translations of the input term to select the auxiliary term out of the translations of the input term.

14. The apparatus according to claim 3, further comprising a selection unit which compares the context vector of the input term with each of context vectors of translations of the input term to select the auxiliary term out of the translations of the input term.

15. The apparatus according to claim 4, further comprising a selection unit which compares the context vector of the input term with each of context vectors of translations of the input term to select the auxiliary term out of the translations of the input term.

16. The apparatus according to claim 2, further comprising a selection unit which generates a plurality of sets of terms in the auxiliary language, where the sets represent different senses of the input term, and selects a set specified by a user out of the sets of terms, as the auxiliary term.

17. The apparatus according to claim 3, further comprising a selection unit which generates a plurality of sets of terms in the auxiliary language, where the sets represent different senses of the input term, and selects a set specified by a user out of the sets of terms, as the auxiliary term.

18. The apparatus according to claim 4, further comprising a selection unit which generates a plurality of sets of terms in the auxiliary language, where the sets represent different senses of the input term, and selects a set specified by a user out of the sets of terms, as the auxiliary term.

19. The apparatus according to claim 2, wherein the combining unit generates the combined context vector so that the combined context vector is biased towards the sense specified by the auxiliary term.

20. The apparatus according to claim 3, wherein the combining unit generates the combined context vector so that the combined context vector is biased towards the sense specified by the auxiliary term.

9. A term synonym acquisition method comprising:

generating a context vector of an input term in an original language and a context vector of each synonym candidate in the original language;

generating a context vector of an auxiliary term in an auxiliary language that is different from the original language, where the auxiliary term specifies a sense of the input term;

generating a combined context vector based on the context vector of the input term and the context vector of the auxiliary term; and

comparing the combined context vector with the context vector of each synonym candidate to generate ranked synonym candidates in the original language.

10. A computer-readable recording medium storing a program that causes a computer to execute:

a first generating function of generating a context vector of an input term in an original language and a context vector of each synonym candidate in the original language;

a second generating function of generating a context vector of an auxiliary term in an auxiliary language that is different from the original language, where the auxiliary term specifies a sense of the input term;

a combining function of generating a combined context vector based on the context vector of the input term and the context vector of the auxiliary term; and

a ranking function of comparing the combined context vector with the context vector of each synonym candidate to generate ranked synonym candidates in the original language.