This paper describes the systems submitted by FBK for the MT track of IWSLT 2013. We participated in the EnglishFrench as well as the bidirectional Persian-English translation tasks. We report substantial improvements in our English-French systems over last year’s baselines, largely due to improved techniques of combining translation and language models. For our Persian-English and English-Pers...

extended abstract 1. introduction nowadays kurdish language is often divided to 3 main groups: 1-the southern group consists of several incongrous accents that are spoken in the sout of iranian kurdistan. 2-the central group consists of iraqi northeastern kurdish, kurdistan of iran and the adjacent areas around it and called surani. 3-northern kurdi wich is the language of more than ⅔ of kurdis...

Dialect variations of a language have a severe impact on the performance of speech systems. Therefore, knowing how close or separate dialects are in a given language space provides useful information to predict, or improve, system performance when there is a mismatch between train and test data. Distance measures have been used in several applications of speech processing, including speech reco...

This paper aims to design and implement speech recognition system with Discrete Wavelets transformation using Daubechies wavelets for analysis of continuous speech for similar sample sets. This work is based on analysis of Signals of Regional Dialects and finding similar pattern in the Regional Dialects of Demographic Region, which provides a highly reliable way for recognizing speech.The impor...

Dialect differences within a given language represent major challenges for sustained speech system performance. For speech recognition, little if any knowledge exists on differences between dialects (e.g. vocabulary, grammar, prosody, etc.). Effective dialect classification can contribute to improved ASR, speaker ID, and spoken document retrieval. This study, presents an approach to establish a...

The current study reports preliminary information gathered about First Nations English dialects in Canada and considers implications for speech-language pathology practice. Information was gathered from literature searches and forums of First Nations and non-First Nations speech-language pathologists, developmentalists, and linguists. The exploratory findings suggest that First Nations English ...

This project compares the accuracy of two automatic speech recognition (ASR) systems–Bing Speech and YouTube’s automatic captions–across gender, race and four dialects of American English. The dialects included were chosen for their acoustic dissimilarity. Bing Speech had differences in word error rate (WER) between dialects and ethnicities, but they were not statistically reliable. YouTube’s a...

BACKGROUND A clinical outcome tool is needed for the assessment of young athletes with low back pain. OBJECTIVES To translate and culturally adapt the Micheli functional scale (MFS), a self-report questionnaire developed to evaluate young athletes with low back pain (LBP) into Persian language and examine the reliability and validity of the Persian MFS (PMFS). MATERIALS AND METHODS A cross-...

This paper is an attempt to exclusively focus on investigating the pivot language technique in which a bridging language is utilized to increase the quality of the Persian–Spanish low-resource Statistical Machine Translation (SMT). In this case, English is used as the bridging language, and the Persian–English SMT is combined with the English–Spanish one, where the relatively large corpora of e...

In this paper, we describe a multilingual open-source computational grammar of Persian, developed in Grammatical Framework (GF) – A type-theoretical grammar formalism. We discuss in detail the structure of different syntactic (i.e. noun phrases, verb phrases, adjectival phrases, etc.) categories of Persian. First, we show how to structure and construct these categories individually. Then we des...