We take a selection of both
<term>
bag-of-words and segment order-sensitive string comparison methods
</term>
, and run each over both character - and word-segmented data , in combination with a range of
<term>
local segment contiguity models
</term>
( in the form of
<term>
N-grams
</term>
) .
#1494We take a selection of bothbag-of-words and segment order-sensitive string comparison methods, and run each over both character- and word-segmented data, in combination with a range of local segment contiguity models (in the form of N-grams).
tech,7-4-P01-1004,ak
Further , in their optimum configuration ,
<term>
bag-of-words methods
</term>
are shown to be equivalent to
<term>
segment order-sensitive methods
</term>
in terms of
<term>
retrieval accuracy
</term>
, but much faster .
#1566Further,in their optimum configuration,bag-of-words methods are shown to be equivalent to segment order-sensitive methods in terms of retrieval accuracy, but much faster.
model,12-3-P01-1004,ak
Over two distinct datasets , we find that
<term>
indexing
</term>
according to simple
<term>
character bigrams
</term>
produces a
<term>
retrieval accuracy
</term>
superior to any of the tested
<term>
word N-gram models
</term>
.
#1543Over two distinct datasets, we find that indexing according to simplecharacter bigrams produces a retrieval accuracy superior to any of the tested word N-gram models.
tech,8-3-P01-1004,ak
Over two distinct datasets , we find that
<term>
indexing
</term>
according to simple
<term>
character bigrams
</term>
produces a
<term>
retrieval accuracy
</term>
superior to any of the tested
<term>
word N-gram models
</term>
.
#1539Over two distinct datasets, we find thatindexing according to simple character bigrams produces a retrieval accuracy superior to any of the tested word N-gram models.
model,31-2-P01-1004,ak
We take a selection of both
<term>
bag-of-words and segment order-sensitive string comparison methods
</term>
, and run each over both character - and word-segmented data , in combination with a range of
<term>
local segment contiguity models
</term>
( in the form of
<term>
N-grams
</term>
) .
#1519We take a selection of both bag-of-words and segment order-sensitive string comparison methods, and run each over both character- and word-segmented data, in combination with a range oflocal segment contiguity models (in the form of N-grams).
model,40-2-P01-1004,ak
We take a selection of both
<term>
bag-of-words and segment order-sensitive string comparison methods
</term>
, and run each over both character - and word-segmented data , in combination with a range of
<term>
local segment contiguity models
</term>
( in the form of
<term>
N-grams
</term>
) .
#1528We take a selection of both bag-of-words and segment order-sensitive string comparison methods, and run each over both character- and word-segmented data, in combination with a range of local segment contiguity models (in the form ofN-grams).
measure(ment),16-3-P01-1004,ak
Over two distinct datasets , we find that
<term>
indexing
</term>
according to simple
<term>
character bigrams
</term>
produces a
<term>
retrieval accuracy
</term>
superior to any of the tested
<term>
word N-gram models
</term>
.
#1547Over two distinct datasets, we find that indexing according to simple character bigrams produces aretrieval accuracy superior to any of the tested word N-gram models.
measure(ment),21-4-P01-1004,ak
Further , in their optimum configuration ,
<term>
bag-of-words methods
</term>
are shown to be equivalent to
<term>
segment order-sensitive methods
</term>
in terms of
<term>
retrieval accuracy
</term>
, but much faster .
#1580Further,in their optimum configuration, bag-of-words methods are shown to be equivalent to segment order-sensitive methods in terms ofretrieval accuracy, but much faster.
measure(ment),19-1-P01-1004,ak
In this paper , we compare the relative effects of
<term>
segment order
</term>
,
<term>
segmentation
</term>
and
<term>
segment contiguity
</term>
on the
<term>
retrieval performance
</term>
of a
<term>
translation memory system
</term>
.
#1480In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on theretrieval performance of a translation memory system.
other,15-1-P01-1004,ak
In this paper , we compare the relative effects of
<term>
segment order
</term>
,
<term>
segmentation
</term>
and
<term>
segment contiguity
</term>
on the
<term>
retrieval performance
</term>
of a
<term>
translation memory system
</term>
.
#1476In this paper, we compare the relative effects of segment order, segmentation andsegment contiguity on the retrieval performance of a translation memory system.
other,10-1-P01-1004,ak
In this paper , we compare the relative effects of
<term>
segment order
</term>
,
<term>
segmentation
</term>
and
<term>
segment contiguity
</term>
on the
<term>
retrieval performance
</term>
of a
<term>
translation memory system
</term>
.
#1471In this paper, we compare the relative effects ofsegment order, segmentation and segment contiguity on the retrieval performance of a translation memory system.
tech,15-4-P01-1004,ak
Further , in their optimum configuration ,
<term>
bag-of-words methods
</term>
are shown to be equivalent to
<term>
segment order-sensitive methods
</term>
in terms of
<term>
retrieval accuracy
</term>
, but much faster .
#1574Further,in their optimum configuration, bag-of-words methods are shown to be equivalent tosegment order-sensitive methods in terms of retrieval accuracy, but much faster.
tech,13-1-P01-1004,ak
In this paper , we compare the relative effects of
<term>
segment order
</term>
,
<term>
segmentation
</term>
and
<term>
segment contiguity
</term>
on the
<term>
retrieval performance
</term>
of a
<term>
translation memory system
</term>
.
#1474In this paper, we compare the relative effects of segment order,segmentation and segment contiguity on the retrieval performance of a translation memory system.
tech,23-1-P01-1004,ak
In this paper , we compare the relative effects of
<term>
segment order
</term>
,
<term>
segmentation
</term>
and
<term>
segment contiguity
</term>
on the
<term>
retrieval performance
</term>
of a
<term>
translation memory system
</term>
.
#1484In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of atranslation memory system.
model,24-3-P01-1004,ak
Over two distinct datasets , we find that
<term>
indexing
</term>
according to simple
<term>
character bigrams
</term>
produces a
<term>
retrieval accuracy
</term>
superior to any of the tested
<term>
word N-gram models
</term>
.
#1555Over two distinct datasets, we find that indexing according to simple character bigrams produces a retrieval accuracy superior to any of the testedword N-gram models.