We present a human judgments dataset and an adapted metric for evaluation of Arabic machine translation.Our mediumscale dataset is the first of its kind for Arabic with high annotation quality.We use the dataset to adapt the BLEU score for Arabic.Our score (AL-BLEU) provides partial credits for stem and morphological matchings of hypothesis and reference words.We evaluate BLEU, METEOR and AL-BLEU on our human judgments corpus and show that AL-BLEU has the highest correlation with human judgments.We are releasing the dataset and software to the research community.

This paper presents an English-Iraqi Arabic speech-to-speech statistical machine translation system using limited resources. In it, we explore the constraints involved, how we endeavored to mitigate such problems as a non-standard orthography and a highly inflected grammar, and discuss leveraging existing plentiful resources for Modern Standard Arabic to assist in this task. These combined techniques yield a reduction in unknown words at translation time by over 40 % and a +3.65 increase in BLEU score over a previous state-of-the-art system using the same parallel training corpus of spoken utterances. Index Terms: speech translation, limited resources, Arabic 1.

Article Stemming and its effects on TFIDF ranking (poster session) Share on Authors: Mark Kantrowitz Just Research, 4616 Henry Street, Pittsburgh, PA Just Research, 4616 Henry Street, Pittsburgh, PAView Profile , Behrang Mohit School of Computer Science, Carnegie Mellon University, Pittsburgh, PA School of Computer Science, Carnegie Mellon University, Pittsburgh, PAView Profile , Vibhu Mittal School of Computer Science, Carnegie Mellon University, Pittsburgh, PA School of Computer Science, Carnegie Mellon University, Pittsburgh, PAView Profile Authors Info & Claims SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrievalJuly 2000 Pages 357–359https://doi.org/10.1145/345508.345650Online:01 July 2000Publication History 28citation101DownloadsMetricsTotal Citations28Total Downloads101Last 12 Months51Last 6 weeks6 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access