[ ソース: timbl ]
パッケージ: timbl (6.9-2 など)
timbl に関するリンク
Debian の資源:
timbl ソースパッケージをダウンロード:
メンテナ:
- Debian Science Team (QA ページ, メールアーカイブ)
- Joost van Baal-Ilić (QA ページ)
- Ko van der Sloot (QA ページ)
- Maarten van Gompel (QA ページ)
外部の資源:
- ホームページ [languagemachines.github.io]
類似のパッケージ:
Tilburg Memory Based Learner
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide range of tasks in Natural Language Processing (NLP).
The Tilburg Memory Based Learner, TiMBL, is a tool for NLP research, and for many other domains where classification tasks are learned from examples. It is an efficient implementation of k-nearest neighbor classifier.
TiMBL's features are:
* Fast, decision-tree-based implementation of k-nearest neighborclassification;
* Implementations of IB1 and IB2, IGTree, TRIBL, and TRIBL2 algorithms; * Similarity metrics: Overlap, MVDM, Jeffrey Divergence, Dot product, Cosine; * Feature weighting metrics: information gain, gain ratio, chi squared,shared variance;
* Distance weighting metrics: inverse, inverse linear, exponential decay; * Extensive verbosity options to inspect nearest neighbor sets; * Server functionality and extensive API; * Fast leave-one-out testing and internal cross-validation; * and Handles user-defined example weighting.
TiMBL is a product of the Centre of Language and Speech Technology (Radboud University, Nijmegen, The Netherlands), the ILK Research Group (Tilburg University, The Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
If you do scientific research in NLP, timbl will likely be of use to you.
その他の timbl 関連パッケージ
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- dep: libc6 (>= 2.34)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC 共有ライブラリ
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- dep: libstdc++6 (>= 13.1)
- GNU 標準 C++ ライブラリ v3
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- dep: libticcutils9 (>= 0.34)
- utility functions used in the context of Natural Language Processing (library)
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- dep: libtimbl7 (>= 6.9)
- Tilburg Memory Based Learner - runtime