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A Language-Independent Approach to Automatic Text Difficulty Assessment for Second-Language Learners

• Wade Shen, Jennifer Williams, Tamas Marius, Elizabeth Salesky
• 2013

In this paper, we introduce a new base-line for language-independent text difficulty assessment applied to the Intera-gency Language Roundtable (ILR) proficiency scale. We demonstrate that reading level assessment is a discriminative problem that is best-suited for regression. Our baseline uses z-normalized shallow length features and TF-LOG weighted… (More)

The MIT-LL/AFRL IWSLT-2013 MT System

• Michaeel Kazi, Michael Coury, +11 authors Michael Hutt
• 2013

This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2013 evaluation campaign [1]. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model that improve performance on the Russian to English, Chinese to English, Arabic to English, and English to… (More)

Exploiting Morphological, Grammatical, and Semantic Correlates for Improved Text Difficulty Assessment

• Elizabeth Salesky, Wade Shen
• BEA@ACL
• 2014

We present a low-resource, language-independent system for text difficulty assessment. We replicate and improve upon a baseline by Shen et al. (2013) on the Interagency Language Roundtable (ILR) scale. Our work demonstrates that the addition of morphological, information the-oretic, and language modeling features to a traditional readability baseline… (More)

The AFRL-MITLL WMT15 System: There's More than One Way to Decode It!

• Jeremy Gwinnup, Tim Anderson, +5 authors Brian Thompson
• WMT@EMNLP
• 2015

This paper describes the AFRL-MITLL statistical MT systems and the improvements that were developed during the WMT15 evaluation campaign. As part of these efforts we experimented with a number of extensions to the standard phrase-based model that improve performance on the Russian to English translation task creating three submission systems with different… (More)

The AFRL-MITLL WMT16 News-Translation Task Systems

• Jeremy Gwinnup, Tim Anderson, +4 authors Brian Thompson
• WMT
• 2016

This paper describes the AFRL-MITLL statistical machine translation systems and the improvements that were developed during the WMT16 evaluation campaign. New techniques applied this year include Neural Machine Translation, a unique selection process for language modelling data, additional out-of-vocabulary translit-eration techniques, and morphology… (More)

The MITLL-AFRL IWSLT 2015 Systems

• Michaeel Kazi, Brian Thompson, +8 authors Christina May
• 2015

This report summarizes the MITLL-AFRL MT, ASR and SLT systems and the experiments run using them during the 2015 IWSLT evaluation campaign. We build on the progress made last year, and additionally experimented with neural MT, unknown word processing, and system combination. We applied these techniques to translating Chinese to English and English to… (More)

The MITLL-AFRL IWSLT 2014 MT System

• Michaeel Kazi, Elizabeth Salesky, +9 authors Michael Hutt
• 2016

This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run using them during the 2014 IWSLT evaluation campaign. Our MT system is much improved over last year, owing to integration of techniques such as PRO and DREM optimization , factored language models, neural network joint model rescoring, multiple phrase tables, and development… (More)

Operational Assessment of Keyword Search on Oral History

• Elizabeth Salesky, Jessica Ray, Wade Shen
• LREC
• 2016

This project assesses the resources necessary to make oral history searchable by means of automatic speech recognition (ASR). There are many inherent challenges in applying ASR to conversational speech: smaller training set sizes and varying demographics, among others. We assess the impact of dataset size, word error rate and term-weighted value on human… (More)

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