| </term> . The purpose of this research is to | test | the efficacy of applying <term> automated | #551 The purpose of this research is to test the efficacy of applying automated evaluation techniques, originally devised for the evaluation of human language learners, to the output of machine translation (MT) systems. | ||
| assessors </term> made their decisions . We | tested | this to see if similar criteria could be | #663 We tested this to see if similar criteria could be elicited from duplicating the experiment using machine translation output. | ||
| retrieval accuracy </term> superior to any of the | tested | <term> word N-gram models </term> . Further | #1554 Over two distinct datasets, we find that indexing according to simple character bigrams produces a retrieval accuracy superior to any of the tested word N-gram models. | ||
| lr,15-6-P03-1051,ak | <term> exact match accuracy </term> on a <term> | test | corpus </term> containing 28,449 <term> word | #4760 The resulting Arabic word segmentation system achieves around 97% exact match accuracy on atest corpus containing 28,449 word tokens. | |
| measure(ment),15-4-H05-1012,ak | improvement on several <term> machine translation | tests | </term> . Performance of the <term> algorithm | #5350 Significant improvement over traditional word alignment techniques is shown as well as improvement on several machine translation tests. | |
| other,9-2-H05-1032,ak | Bayesian summarizers </term> , using <term> | test | data </term> from <term> Japanese news texts | #5398 Comparison is made against non Bayesian summarizers, usingtest data from Japanese news texts. | |
| outputs . We present the first known empirical | test | of an increasingly common speculative claim | #6335 We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. | ||
| </term> for 30 <term> SCF types </term> which | tests | for the presence of <term> grammatical relations | #10301 The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser. | ||
| other,22-5-P05-1076,ak | the process of obtaining <term> training and | test | data </term> for <term> subcategorization acquisition | #10386 A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition. | |
| other,31-2-P05-2008,ak | good match between the <term> training and | test | data </term> with respect to <term> topic </term> | #10451 Traditional machine learning techniques have been applied to this problem with reasonable success, but they have been shown to work well only when there is a good match between the training and test data with respect to topic. | |
| vocabulary </term> for an English certification | test | as the <term> target vocabulary </term> and | #10804 We used a specialized vocabulary for an English certification test as the target vocabulary and used English Wikipedia, a free-content encyclopedia, as the target corpus. | ||
| algorithms </term> have been built and empirically | tested | whereas little is known about the <term> | #10908 Over the last decade, a variety of SMT algorithms have been built and empirically tested whereas little is known about the computational complexity of some of the fundamental problems of SMT. | ||
| representational format </term> for <term> meaning </term> is | tested | as broadly as possible . In this format | #12776 A research program is described in which a particular representational format for meaning is tested as broadly as possible. | ||
| represented as a <term> procedure </term> which | tests | , scores and aggregates the <term> elastic | #15363 In this approach to semantics, the meaning of a proposition, p, is represented as a procedure which tests, scores and aggregates the elastic constraints which are induced by p. | ||
| voice interactive system </term> . A series of | tests | are described that show the power of the | #16246 A series of tests are described that show the power of the error correction methodology when stereotypic dialogue occurs. | ||
| lr,30-3-H89-2019,ak | to be included in and excluded from <term> | test | corpora </term> , and the procedures used | #19942 The Common Answer Specification determines the syntax of answer expressions, the minimal content that must be included in them, the data to be included in and excluded fromtest corpora, and the procedures used by the Comparator. | |
| other,22-4-H90-1060,ak | a standard <term> grammar </term> and <term> | test | set </term> from the <term> DARPA Resource | #21151 With only 12 training speakers for SI recognition, we achieved a 7.5% word error rate on a standard grammar andtest set from the DARPA Resource Management corpus. | |
| other,10-5-H90-1060,ak | comparable to our best condition for this <term> | test | suite </term> , using 109 <term> training speakers | #21170 This performance is comparable to our best condition for thistest suite, using 109 training speakers. | |
| <term> semiphone modeling </term> have been | tested | . A very simple improved <term> duration | #21738 Some new variations in semiphone modeling have been tested. | ||
| new <term> training strategy </term> has been | tested | which , by itself , did not provide useful | #21768 A new training strategy has been tested which, by itself, did not provide useful improvements but suggests that improvements can be obtained by a related rapid adaptation technique. |
