<HTML><BODY style="word-wrap: break-word; -khtml-nbsp-mode: space; -khtml-line-break: after-white-space; "><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">------------------------------------------------------------------------</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">Arabic-L: Thu 22 Feb 2007</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">Moderator: Dilworth Parkinson <<A href="mailto:dilworth_parkinson@byu.edu">dilworth_parkinson@byu.edu</A>></DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">[To post messages to the list, send them to <A href="mailto:arabic-l@byu.edu">arabic-l@byu.edu</A>]</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">[To unsubscribe, send message from same address you subscribed from to</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><A href="mailto:listserv@byu.edu">listserv@byu.edu</A> with first line reading:</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "> unsubscribe arabic-l ]</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; min-height: 14px; "><BR></DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">-------------------------Directory------------------------------------</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; min-height: 14px; "><BR></DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">1) Subject:Arabic-English Parallel Text Corpus</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; min-height: 14px; "><BR></DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">-------------------------Messages-----------------------------------</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">1)</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">Date: 22 Feb 2007</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">From:reposeted from LDC</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">Subject:Arabic-English Parallel Text Corpus</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; min-height: 14px; "><BR></DIV><P style="margin: 0.0px 0.0px 12.0px 0.0px"><A href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2007T08">ISI Arabic-English Automatically Extracted Parallel Text</A> consists of Arabic-English parallel sentences which were extracted automatically from two monolingual corpora: Arabic Gigaword Second Edition (LDC2006T02) and English Gigaword Second Edition (LDC2005T12). The data was extracted from news articles published by Xinhua News Agency and Agence France Presse. The corpus contains 1,124,609 sentence pairs; the word count on the English side is approximately 31M words. The sentences in the parallel corpus preserve the form and encoding of the texts in the original Gigaword corpora.</P><P style="margin: 0.0px 0.0px 12.0px 0.0px">For each sentence pair in the corpus we provide the names of the documents from which the two sentences were extracted, as well as a confidence score (between 0.5 and 1.0), which is indicative of their degree of parallelism. The parallel sentence identification approach is designed to judge sentence pairs in isolation from their contexts, and can therefore find parallel sentences within document pairs which are not parallel. </P><P style="margin: 0.0px 0.0px 12.0px 0.0px">In order to make this resource useful for research in Machine Translation (MT), we made efforts to detect potential overlaps between this data and the standard test and development data sets used by the MT community. ISI Arabic-English Automatically Extracted Parallel Text is distributed via web download.</P><P style="margin: 0.0px 0.0px 12.0px 0.0px">2007 Subscription Members will automatically receive two copies of this corpus on disc. 2007 Standard Members may request a copy as part of their 16 free membership corpora. Nonmembers may license this data for US$4000.</P><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; min-height: 14px; "><BR></DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">--------------------------------------------------------------------------</DIV><DIV style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">End of Arabic-L: 22 Feb 2007</DIV></BODY></HTML>