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Hits 241 – 257 of 257

241
Extending Topic Models With Syntax and Semantics Relationships
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242
Dialog between a Lexicographer and a Translator
In: Cognitive Studies | Études cognitives; No 13 (2013); 13-23 ; 2392-2397 (2015)
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243
A Python-based Interface for Wide Coverage Lexicalized Tree-adjoining Grammars
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 139-159 (2015) (2015)
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244
Domain Adaptation for Machine Translation with Instance Selection
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 5-20 (2015) (2015)
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245
Scalable Reordering Models for SMT based on Multiclass SVM
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 65-84 (2015) (2015)
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246
Evaluating Machine Translation Quality Using Short Segments Annotations
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 85-110 (2015) (2015)
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247
Evaluating MT systems with BEER
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 17-26 (2015) (2015)
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248
Exact Expected Average Precision of the Random Baseline for System Evaluation
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 131-138 (2015) (2015)
Abstract: Average precision (AP) is one of the most widely used metrics in information retrieval and natural language processing research. It is usually thought that the expected AP of a system that ranks documents randomly is equal to the proportion of relevant documents in the collection. This paper shows that this value is only approximate, and provides a procedure for efficiently computing the exact value. An analysis of the difference between the approximate and the exact value shows that the discrepancy is large when the collection contains few documents, but becomes very small when it contains at least 600 documents.
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doaj.org/article/f349b5ee3ac04cdc99c8efd13760b510
https://doi.org/10.1515/pralin-2015-0007
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249
Resources for Indonesian Sentiment Analysis
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 21-41 (2015) (2015)
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250
Ultrametric Distance in Syntax
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 111-130 (2015) (2015)
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251
Joshua 6: A phrase-based and hierarchical statistical machine translation system
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 5-16 (2015) (2015)
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252
Sampling Phrase Tables for the Moses Statistical Machine Translation System
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 39-50 (2015) (2015)
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253
TmTriangulate: A Tool for Phrase Table Triangulation
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 75-86 (2015) (2015)
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254
MT-ComparEval: Graphical evaluation interface for Machine Translation development
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 63-74 (2015) (2015)
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255
Box: Natural Language Processing Research Using Amazon Web Services
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 27-38 (2015) (2015)
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256
QuEst for High Quality Machine Translation
In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 43-64 (2015) (2015)
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257
Grasp: Randomised Semiring Parsing
In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 51-62 (2015) (2015)
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