241 |
Extending Topic Models With Syntax and Semantics Relationships
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242 |
Dialog between a Lexicographer and a Translator
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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
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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
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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
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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
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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
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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
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In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 131-138 (2015) (2015)
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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.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doaj.org/article/f349b5ee3ac04cdc99c8efd13760b510 https://doi.org/10.1515/pralin-2015-0007
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249 |
Resources for Indonesian Sentiment Analysis
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In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 21-41 (2015) (2015)
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250 |
Ultrametric Distance in Syntax
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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
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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
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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
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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
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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
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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
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In: Prague Bulletin of Mathematical Linguistics , Vol 103, Iss 1, Pp 43-64 (2015) (2015)
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257 |
Grasp: Randomised Semiring Parsing
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In: Prague Bulletin of Mathematical Linguistics , Vol 104, Iss 1, Pp 51-62 (2015) (2015)
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