icassp16-ng.tar.gz (2.66 MB)

ICASSP 2016 - Experiment results for the paper "Groupwise learning for ASR k-best list reranking in spoken language translation"

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posted on 27.06.2016, 13:17 by Wai Man Ng, Lucia Specia, Thomas Hain, Kashif Shah
The compressed folder contains the experiment output described in Table 1 and Table 2 in the paper "Groupwise learning for ASR k-best list reranking in spoken language translation" DOI: 10.1109/ICASSP.2016.7472853.

In the top level there are two files,
"E12.filelist" contains the 1124 segments used in the experiments. Each segment is named after the convention (TALK)_(SPEAKER)_(STARTTIME in 10ms)_(ENDTIME in 10ms). The segments are identical to those from the IWSLT 2012 evaluation (http://hltshare.fbk.eu/IWSLT2012/IWSLT12.TED.SLT.testsets.tgz)
"E12.tc.fr.reference" contains the reference French translation of these 1124 sentences.

Experiments results were organised into subfolders.
Results from which TABLE 1 was generated could be found in the folder TABLE_1/Setting_[A or B or C] accordingly. For each Setting, 8 regression experiments (predicsvcpermute*) and 14 classification experiments (predicsvrpermute*) were conducted. The translation outputs are recorded in the files prefixed "rerank.merged.*" and the translation scores are recorded in the files prefixed "best-results.fullset.*"

The folders TABLE_2/Groupwise+LDA/Setting_[A or B or C] contain the translation outputs "rerank.merged.*" and translation scores "best-results.fullset.*" for the Groupwise+LDA results described in Table 2 in the paper. For Setting A, B and C, the corresponding optimal LDA dimensions are 3, 5 and 4 respectively. These are also reflected in the filename in the uploaded data.


EPSRC (EP/I031022/1) and Google ("WFST based Integration of ASR and MT in Spoken Language Translation")



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The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files