LangTech Text Library (LTTL) for text processing and analysis
Project description
LTTL is an open-source python package for text processing and analysis.
LTTL consists of: (i) a set of classes for representing segmental analyses of text strings (= “segmentations”), whereby portions of text strings are delineated and possibly annotated with specific labels; (ii) a set of classes for creating and manipulating segmentations, in order to produce either modified version of the original text data, or data tables summarizing properties of these data (e.g. unit frequency, complexity measures, concordances, and so on).
LTTL was designed and implemented by LangTech Sarl.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file LTTL-2.0.11.zip.
File metadata
- Download URL: LTTL-2.0.11.zip
- Upload date:
- Size: 79.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2b6a2c735b91fbeee42aa555cfd694826696f88b1beb9ebeb1960eb2eb3a2c47 |
|
| MD5 | 3bc135a09dd51d0f2a7ffe3d7f33f7bd |
|
| BLAKE2b-256 | aefd94543ebfbfecfbdc4a19cfca0415e03b3c5408603b10fc98f651ce979e0a |
File details
Details for the file LTTL-2.0.11-py3.6.egg.
File metadata
- Download URL: LTTL-2.0.11-py3.6.egg
- Upload date:
- Size: 101.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fe7a545c37b76f01a438dad05a8c4ae80c3aa626f2f11f7e786b7777d1eb31d6 |
|
| MD5 | 8640d725acae0a597bb153d6e149d9e1 |
|
| BLAKE2b-256 | 4c5bfcbd29eff31aa35462b6b9625d29802a94c6ac9a441aa05ff8c3f6197484 |
