Takuya Matsuzaki

3 paper cards in Mova's library · 2008–2011

Takuya Matsuzaki wrote 3 of the papers Mova reads, in 2008–2011, most of them on Part-of-speech tagging, Machine translation; often with Jun'ichi Tsujii, Yusuke Miyao, Kenji Sagae.

The profile is the library's match of the name; two people with one name are not always told apart.

Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

tried — Attach, do not align. In the standard encoder (profile.rs), write a target function word (case marker, article, auxiliary) with the chunk of the content word it binds to, not through the word alignment. Measure the function-word class of the residual in… (Effective Use of Function Words for Rule Generalization in… · translate r4-fw: function words bound to the head concept were much worse (186.4→278.2); the per-pair insert/drop table (r5-fwt) is kept instead)

Effective Use of Function Words for Rule Generalization in Forest-Based Translation (2011)
English-to-Japanese forest-to-string translation on about one million abstract pairs. In a hand check of 100 GIZA++ alignments, 309 of 1,324 links were wrong, and 237 of those were target function words (particles and auxiliaries), which tend to align to a few English words such as "of" and "the". The fix: drop the…
Exploring Difficulties in Parsing Imperatives and Questions (2011)
Parsers trained on the Wall Street Journal fail on imperatives and questions even when the words are known, because the word order and the missing subject change the structure.
Task-oriented Evaluation of Syntactic Parsers and Their Representations (2008)
Parsers are usually compared on their own accuracy, and parse representations differ from framework to framework, so the scores are hard to compare.