Grammatical inference for syntax-based statistical machine translation

Menno van Zaanen; Jeroen Geertzen

doi:10.1007/11872436_35

Grammatical inference for syntax-based statistical machine translation

Menno van Zaanen, Jeroen Geertzen

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

1 Citation (Scopus)

Abstract

In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the derivation are translated using the mapping and subsequently, a derivation in the target language is generated. The initial results are encouraging, illustrating that this is a valid machine translation approach.

Original language	English
Title of host publication	Grammatical inference
Subtitle of host publication	algorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings
Editors	Yasubumi Sakakibara, Satoshi Kobayashi, Kengo Sato, Tetsuro Nishino, Etsuji Tomita
Place of Publication	Berlin ; New York
Publisher	Springer, Springer Nature
Pages	356-357
Number of pages	2
ISBN (Print)	9783540452645
DOIs	https://doi.org/10.1007/11872436_35
Publication status	Published - 2006
Event	International Colloquium on Grammatical Inference (8th : 2006) - Duration: 20 Sept 2006 → 22 Sept 2006

Publication series

Name	Lecture notes in computer science
Publisher	Springer

Conference

Conference	International Colloquium on Grammatical Inference (8th : 2006)
Period	20/09/06 → 22/09/06

Access to Document

10.1007/11872436_35

Cite this

van Zaanen, M., & Geertzen, J. (2006). Grammatical inference for syntax-based statistical machine translation. In Y. Sakakibara, S. Kobayashi, K. Sato, T. Nishino, & E. Tomita (Eds.), Grammatical inference: algorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings (pp. 356-357). (Lecture notes in computer science). Springer, Springer Nature. https://doi.org/10.1007/11872436_35

van Zaanen, Menno ; Geertzen, Jeroen. / Grammatical inference for syntax-based statistical machine translation. Grammatical inference: algorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings. editor / Yasubumi Sakakibara ; Satoshi Kobayashi ; Kengo Sato ; Tetsuro Nishino ; Etsuji Tomita. Berlin ; New York : Springer, Springer Nature, 2006. pp. 356-357 (Lecture notes in computer science).

@inbook{0e500aab6f73447dafbcb727ebc37521,

title = "Grammatical inference for syntax-based statistical machine translation",

abstract = "In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the derivation are translated using the mapping and subsequently, a derivation in the target language is generated. The initial results are encouraging, illustrating that this is a valid machine translation approach.",

author = "{van Zaanen}, Menno and Jeroen Geertzen",

year = "2006",

doi = "10.1007/11872436_35",

language = "English",

isbn = "9783540452645",

series = "Lecture notes in computer science",

publisher = "Springer, Springer Nature",

pages = "356--357",

editor = "Yasubumi Sakakibara and Satoshi Kobayashi and Kengo Sato and Tetsuro Nishino and Etsuji Tomita",

booktitle = "Grammatical inference",

address = "United States",

note = "International Colloquium on Grammatical Inference (8th : 2006) ; Conference date: 20-09-2006 Through 22-09-2006",

}

van Zaanen, M & Geertzen, J 2006, Grammatical inference for syntax-based statistical machine translation. in Y Sakakibara, S Kobayashi, K Sato, T Nishino & E Tomita (eds), Grammatical inference: algorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings. Lecture notes in computer science, Springer, Springer Nature, Berlin ; New York, pp. 356-357, International Colloquium on Grammatical Inference (8th : 2006), 20/09/06. https://doi.org/10.1007/11872436_35

Grammatical inference for syntax-based statistical machine translation. / van Zaanen, Menno; Geertzen, Jeroen.
Grammatical inference: algorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings. ed. / Yasubumi Sakakibara; Satoshi Kobayashi; Kengo Sato; Tetsuro Nishino; Etsuji Tomita. Berlin ; New York: Springer, Springer Nature, 2006. p. 356-357 (Lecture notes in computer science).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

TY - CHAP

T1 - Grammatical inference for syntax-based statistical machine translation

AU - van Zaanen, Menno

AU - Geertzen, Jeroen

PY - 2006

Y1 - 2006

N2 - In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the derivation are translated using the mapping and subsequently, a derivation in the target language is generated. The initial results are encouraging, illustrating that this is a valid machine translation approach.

AB - In this article we present a syntax-based translation system, called TABL (Translation using Alignment-Based Learning). It translates natural language sentences by mapping grammar rules (which are induced by the Alignment-Based Learning grammatical inference framework) of the source language to those of the target language. By parsing a sentence in the source language, the grammar rules in the derivation are translated using the mapping and subsequently, a derivation in the target language is generated. The initial results are encouraging, illustrating that this is a valid machine translation approach.

U2 - 10.1007/11872436_35

DO - 10.1007/11872436_35

M3 - Other chapter contribution

SN - 9783540452645

T3 - Lecture notes in computer science

SP - 356

EP - 357

BT - Grammatical inference

A2 - Sakakibara, Yasubumi

A2 - Kobayashi, Satoshi

A2 - Sato, Kengo

A2 - Nishino, Tetsuro

A2 - Tomita, Etsuji

PB - Springer, Springer Nature

CY - Berlin ; New York

T2 - International Colloquium on Grammatical Inference (8th : 2006)

Y2 - 20 September 2006 through 22 September 2006

ER -

van Zaanen M, Geertzen J. Grammatical inference for syntax-based statistical machine translation. In Sakakibara Y, Kobayashi S, Sato K, Nishino T, Tomita E, editors, Grammatical inference: algorithms and applications : 8th international colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006 : proceedings. Berlin ; New York: Springer, Springer Nature. 2006. p. 356-357. (Lecture notes in computer science). doi: 10.1007/11872436_35