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<span style="font-size:13.333333969116211px;font-family:arial,sans-serif">Arabic-L: Wed 19 Feb 2014</span><br style="font-size:13.333333969116211px;font-family:arial,sans-serif"><span style="font-size:13.333333969116211px;font-family:arial,sans-serif">Moderator: Dilworth Parkinson <</span><a href="mailto:dilworth_parkinson@byu.edu" style="font-size:13.333333969116211px;font-family:arial,sans-serif" target="_blank">dilworth_parkinson@byu.edu</a><span style="font-size:13.333333969116211px;font-family:arial,sans-serif">></span><br style="font-size:13.333333969116211px;font-family:arial,sans-serif">
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<br style="font-size:13.333333969116211px;font-family:arial,sans-serif"><span style="font-size:13.333333969116211px;font-family:arial,sans-serif">1) Subject: </span><font face="arial, sans-serif">New LDC Arabi products</font><br style="font-size:13.333333969116211px;font-family:arial,sans-serif">
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<span style="font-size:13.333333969116211px;font-family:arial,sans-serif">1)</span><br style="font-size:13.333333969116211px;font-family:arial,sans-serif"><span style="font-size:13.333333969116211px;font-family:arial,sans-serif">Date: </span><span style="font-size:13px;font-family:arial,sans-serif">19 Feb 2014</span><br style="font-size:13.333333969116211px;font-family:arial,sans-serif">
<span style="font-size:13.333333969116211px;font-family:arial,sans-serif">From: </span><span name="Linguistic Data Consortium" style="font-size:13px;font-family:arial,sans-serif">Linguistic Data Consortium</span><span style="font-family:arial,sans-serif;font-size:13px;white-space:nowrap"> </span><span style="font-family:arial,sans-serif;font-size:13px;white-space:nowrap"><a href="mailto:ldc@ldc.upenn.edu" target="_blank">ldc@ldc.upenn.edu</a></span><br style="font-size:13.333333969116211px;font-family:arial,sans-serif">
<span style="font-size:13.333333969116211px;font-family:arial,sans-serif">Subject: </span><font face="arial, sans-serif">New LDC Arabi products</font><br style="font-size:13.333333969116211px;font-family:arial,sans-serif">
<br style="font-size:13.333333969116211px;font-family:arial,sans-serif">(1) GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 2 was developed by LDC and contains 141,058 tokens of word aligned Arabic and English parallel text with treebank annotations. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program.<br>
<br>Parallel aligned treebanks are treebanks annotated with morphological and syntactic structures aligned at the sentence level and the sub-sentence level. Such data sets are useful for natural language processing and related fields, including automatic word alignment system training and evaluation, transfer-rule extraction, word sense disambiguation, translation lexicon extraction and cultural heritage and cross-linguistic studies. With respect to machine translation system development, parallel aligned treebanks may improve system performance with enhanced syntactic parsers, better rules and knowledge about language pairs and reduced word error rate.<br>
<br>In this release, the source Arabic data was translated into English. Arabic and English treebank annotations were performed independently. The parallel texts were then word aligned. The material in this corpus corresponds to a portion of the Arabic treebanked data in Arabic Treebank - Broadcast News v1.0 (LDC2012T07).<br>
<br>The source data consists of Arabic broadcast news programming collected by LDC in 2007 and 2008. All data is encoded as UTF-8. A count of files, words, tokens and segments is below.<br><br>Language<br><br>Files<br><br>
Words<br><br>Tokens<br><br>Segments<br><br>Arabic<br><br>31<br><br>110,690<br><br>141,058<br><br>7,102<br><br>The purpose of the GALE word alignment task was to find correspondences between words, phrases or groups of words in a set of parallel texts. Arabic-English word alignment annotation consisted of the following tasks:<br>
<br>Identifying different types of links: translated (correct or incorrect) and not translated (correct or incorrect)<br>Identifying sentence segments not suitable for annotation, e.g., blank segments, incorrectly-segmented segments, segments with foreign languages<br>
Tagging unmatched words attached to other words or phrases<br><br>GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 2 is distributed via web download.<br><br>2014 Subscription Members will automatically receive two copies of this data on disc. 2014 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for US$1750.<br>
<br><br>(2) King Saud University Arabic Speech Database was developed by King Saud University and contains 590 hours of recorded Arabic speech from male and female speakers. The utterances include read and spontaneous speech. The recordings were conducted in varied environments representing quiet and noisy settings. <br>
<br>The corpus was designed principally for speaker recognition research. The speech sources are sentences, word lists, prose and question and answer sessions. Read speech text includes the following:<br><br>Sets of sentences devised to cover allophones of each phoneme, phonetic balance, and differentiation of accents.<br>
Word lists developed to minimize missing phonemes and to represent nasals fricatives, commonly used words, and numbers.<br>Two paragraphs, one from the Quran and another from a book, selected because they included all letters of the alphabet and were easy to read.<br>
<br>Spontaneous speech was captured through question and answer sessions between participants and project team members. Speakers responded to questions on general topics such as the weather and food.<br><br>Each speaker was recorded in three different environments: a sound proof room, an office, and a cafeteria. The recordings were collected via microphone and mobile phone and averaged between 16-19 minutes. The data was verified for missing recordings, problems with the recording system or errors in the recording process.<br>
<br>King Saud University Arabic Speech Database is distributed on one hard disk.<br><br>2014 Subscription Members will receive a copy of this data provided that they have completed the User License Agreement. 2014 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for US$2000.<div style="font-size:13.333333969116211px;font-family:arial,sans-serif">
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