OLAC Record
oai:sil.org:43013

Metadata
Title:The Translator's Assistant: A Multilingual Natural Language Generator
Abstract:

The Translator‘s Assistant (TTA) is a multilingual natural language generator (NLG) designed to produce initial drafts of translations of texts in a wide variety of target languages. The four primary components of every NLG system of this type are 1) the ontology, 2) the semantic representations, 3) the transfer grammar, and 4) the synthesizing grammar. This system‘s ontology was developed using the foundational principles of Natural Semantic Metalanguage theory. TTA‘s semantic representations are comprised of a controlled, English influenced metalanguage augmented by a feature system which was designed to accommodate a very wide variety of target languages. TTA‘s transfer grammar incorporates many concepts from Functional-Typological grammar as well as Role and Reference grammar. The synthesizing grammar is intentionally very generic, but it most closely resembles the transformational-generative model. The meaning-based theory of translation underlies the TTA system.

The fundamental question that this research proposes to answer is as follows: if the semantic representations contain sufficient information, and if the grammar possesses sufficient capabilities, then is TTA able to generate drafts of sufficient quality that they improve the productivity of experienced mother-tongue translators? To answer this question, software was developed that allows a linguist to build a lexicon and grammar for a particular target language. Then semantic representations were developed for one hundred and five chapters of text. Four unrelated languages were chosen to test the system, and a partial lexicon and grammar were developed for each test language: English, Korean, Jula, and Kewa. Three chapters of text were generated in Jula, four chapters of text were generated in Kewa, fifty chapters were generated in Korean, and all one hundred and five chapters were generated in English. Then extensive experiments were performed to determine the degree to which the computer generated drafts improve the productivity of experienced mother-tongue translators. Those experiments indicate that when experienced mother-tongue translators use the rough drafts generated by TTA, their productivity is typically quadrupled without any loss of quality. [In the interest of making this work available without further delay, we are posting it as it was accepted by the institution that granted the degree. It has not been peer reviewed.]

Contributor (author):Allman, Tod Jay
Date (W3CDTF):2010
Description (URI):http://www.sil.org/resources/archives/43013
Extent:454 pages
Identifier (URI):http://www.sil.org/resources/archives/43013
http://www.sil.org/resources/publications/entry/43013
Is Part Of:SIL e-Books 31
Language:English
Language (ISO639):eng
Publisher:SIL International
Subject:Dyula language
English language
West Kewa language
Korean language
Functional-Typological grammar; Role and Reference grammar; language software; computer-generated text
Subject (ISO639):dyu
eng
kew
kor
Type (DCMI):Text

OLAC Info

Archive:  SIL Language and Culture Archives
Description:  http://www.language-archives.org/archive/sil.org
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:sil.org:43013
DateStamp:  2013-04-27
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Allman, Tod Jay. 2010. SIL e-Books 31.
Terms: area_Africa area_Asia area_Europe area_Pacific country_CI country_GB country_KR country_PG dcmi_Text iso639_dyu iso639_eng iso639_kew iso639_kor

Inferred Metadata

Country: Côte d'IvoireUnited KingdomSouth KoreaPapua New Guinea
Area: AfricaAsiaEuropePacific


http://www.language-archives.org/item.php/oai:sil.org:43013
Up-to-date as of: Mon Jun 15 4:55:08 EDT 2015