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Data collected for our 2013 WMT paper "The Feasibility of HMEANT as a Human MT Evaluation Metric"

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hmeant-wmt13

This project contains the data collected for the following paper:

@InProceedings{birch-EtAl:2013:WMT,
  author    = {Birch, Alexandra  and  Haddow, Barry  and  Germann, Ulrich  and  Nadejde, Maria  and  Buck, Christian  and  Koehn, Philipp},
  title     = {The Feasibility of {HMEANT} as a Human {MT} Evaluation Metric},
  booktitle = {Proceedings of the Eighth Workshop on Statistical Machine Translation},
  month     = {August},
  year      = {2013},
  address   = {Sofia, Bulgaria},
  publisher = {Association for Computational Linguistics},
  pages     = {52--61},
  url       = {http://www.aclweb.org/anthology/W13-2203}
}

All the data is contained in the data directory, in a flat-file, tab separated, database format. The script annotation.py can be used to access the data - running it will iterate through the annotations displaying them one at a time. Alternatively, the script can be imported to provide programmatic access to the annotations.

The tables in the database are as follows:

sentences Contains an entry for each hypothesis and reference in the corpus. Each sentence record has a unique id, a language (either de or en), a segment and a number within that segment. The sentences were divided up into segments to give the annotators smaller units to work on. The version column specifies whether the sentence was a hypothesis (00), a phrase-based output (01), a syntax-based output (02) or a rule-based output (03). The last column shows the sentence length.

sentences_text
This is the same as sentences, except that the last column is the text of the sentence. It is a separate table because having the sentence text in the table makes processing more difficult.

annotations Contains a record for each annotation of each sentence. Each sentence was annotated by two annotators. The fields in this file are the id, the corresponding sentence_id, the annotator and the corresponding reference annotation ref_id. The last field is a key into the annotations table, and requires some explanation. In the annotation, the annotator first annotated the reference, then the corresponding hypotheses (system outputs). When they started annotating the system outputs, a copy was made of the reference annotation, and the copy linked with the system output annotation. The field ref_id is non-null for any hypothesis annotation, and provides a link to the corresponding reference annotation.

actions This table shows all the actions (aka frames) annotated. The three columns are the primary key (id), a foreign key into the annotations table, and the token number of the frame head.

slots This shows the annotated slots, with each record containing a primary key (id), a foreign key into the actions table, a type, and a sequence of tokens (always continuous).

action_aligns These link an action in the reference with an action in a corresponding hypothesis. Aside from the primary key (id) this has foreign keys into the actions table, and a type (full or partial).

slot_aligns Similar to the action_aligns, these show the links between entries in the slots table.

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Data collected for our 2013 WMT paper "The Feasibility of HMEANT as a Human MT Evaluation Metric"

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