A single generative model for joint morphological segmentation and syntactic parsing

Yoav Goldberg; Reut Tsarfaty

A single generative model for joint morphological segmentation and syntactic parsing

Yoav Goldberg
, Reut Tsarfaty

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

57 Scopus citations

Abstract

Morphological processes in Semitic languages deliver space-delimited words which introduce multiple, distinct, syntactic units into the structure of the input sentence. These words are in turn highly ambiguous, breaking the assumption underlying most parsers that the yield of a tree for a given sentence is known in advance. Here we propose a single joint model for performing both morphological segmentation and syntactic disambiguation which bypasses the associated circularity. Using a treebank grammar, a data-driven lexicon, and a linguistically motivated unknown-tokens handling technique our model outperforms previous pipelined, integrated or factorized systems for Hebrew morphological and syntactic processing, yielding an error reduction of 12% over the best published results so far.

Original language	English
Title of host publication	ACL-08
Subtitle of host publication	HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference
Pages	371-379
Number of pages	9
State	Published - 1 Dec 2008
Event	46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT - Columbus, OH, United States Duration: 15 Jun 2008 → 20 Jun 2008

Publication series

Name	ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Conference

Conference	46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT
Country/Territory	United States
City	Columbus, OH
Period	15/06/08 → 20/06/08

ASJC Scopus subject areas

Language and Linguistics
Computer Networks and Communications
Linguistics and Language

Cite this

Goldberg, Y., & Tsarfaty, R. (2008). A single generative model for joint morphological segmentation and syntactic parsing. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 371-379). (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

Goldberg, Yoav ; Tsarfaty, Reut. / A single generative model for joint morphological segmentation and syntactic parsing. ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 2008. pp. 371-379 (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

@inproceedings{e2f62a5cccfd403ca0205204e59999e9,

title = "A single generative model for joint morphological segmentation and syntactic parsing",

abstract = "Morphological processes in Semitic languages deliver space-delimited words which introduce multiple, distinct, syntactic units into the structure of the input sentence. These words are in turn highly ambiguous, breaking the assumption underlying most parsers that the yield of a tree for a given sentence is known in advance. Here we propose a single joint model for performing both morphological segmentation and syntactic disambiguation which bypasses the associated circularity. Using a treebank grammar, a data-driven lexicon, and a linguistically motivated unknown-tokens handling technique our model outperforms previous pipelined, integrated or factorized systems for Hebrew morphological and syntactic processing, yielding an error reduction of 12\% over the best published results so far.",

author = "Yoav Goldberg and Reut Tsarfaty",

year = "2008",

month = dec,

day = "1",

language = "English",

isbn = "9781932432046",

series = "ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference",

pages = "371--379",

booktitle = "ACL-08",

note = "46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT ; Conference date: 15-06-2008 Through 20-06-2008",

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Goldberg, Y & Tsarfaty, R 2008, A single generative model for joint morphological segmentation and syntactic parsing. in ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, pp. 371-379, 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT, Columbus, OH, United States, 15/06/08.

A single generative model for joint morphological segmentation and syntactic parsing. / Goldberg, Yoav; Tsarfaty, Reut.
ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 2008. p. 371-379 (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Tsarfaty, Reut

PY - 2008/12/1

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N2 - Morphological processes in Semitic languages deliver space-delimited words which introduce multiple, distinct, syntactic units into the structure of the input sentence. These words are in turn highly ambiguous, breaking the assumption underlying most parsers that the yield of a tree for a given sentence is known in advance. Here we propose a single joint model for performing both morphological segmentation and syntactic disambiguation which bypasses the associated circularity. Using a treebank grammar, a data-driven lexicon, and a linguistically motivated unknown-tokens handling technique our model outperforms previous pipelined, integrated or factorized systems for Hebrew morphological and syntactic processing, yielding an error reduction of 12% over the best published results so far.

AB - Morphological processes in Semitic languages deliver space-delimited words which introduce multiple, distinct, syntactic units into the structure of the input sentence. These words are in turn highly ambiguous, breaking the assumption underlying most parsers that the yield of a tree for a given sentence is known in advance. Here we propose a single joint model for performing both morphological segmentation and syntactic disambiguation which bypasses the associated circularity. Using a treebank grammar, a data-driven lexicon, and a linguistically motivated unknown-tokens handling technique our model outperforms previous pipelined, integrated or factorized systems for Hebrew morphological and syntactic processing, yielding an error reduction of 12% over the best published results so far.

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M3 - Conference contribution

AN - SCOPUS:84859903017

SN - 9781932432046

T3 - ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

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BT - ACL-08

T2 - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT

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Goldberg Y, Tsarfaty R. A single generative model for joint morphological segmentation and syntactic parsing. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 2008. p. 371-379. (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

A single generative model for joint morphological segmentation and syntactic parsing

Abstract

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Conference

ASJC Scopus subject areas

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