morphkit.analyse_word_with_morpheus

morphkit.analyse_word_with_morpheus(word_beta: str, api_endpoint: str, language: str = 'greek', add_pos: bool = True, add_morph: bool = True, debug: bool = False) → Dict[str, Any]

Query the Morpheus morphological analyser for a Greek word in Betacode and parse its analyses.

Args:

word_beta (str):

The input word in beta-code format to look up. Backslashes in the input need to be escaped: e.g., ‘a)nh/r’ -> ‘a)nh/r'.

api_endpoint (str):

IP adress & port of the Morpheus API endpoint (e.g., 192.168.0.5:1315).

language (str):

Optional argument. Defaults to greek. The other option is ‘latin’. If set to ‘latin’ no POS and morph field will be added.

add_pos (bool):

Optional argument. Defaults to True. If set to False no POS field will be added to the parse.

add_morph (bool):

Optional argument. Defaults to True. If set to False no morph field will be added to the parse.

debug (bool):

Optional argument. Defaults to False. If set to True the function print some debug information.

Returns:

Dict[str, Any]:

A dictionary with the following structure:

{
    'word': str,            # Normalized Betacode key returned by Morpheus
    'raw_uni': str,         # Unicode Greek of raw format (not returned when 'language=latin')
    'blocks': int,          # Number of blocks parsed
    'analyses': List[dict], # Parsed analyses from each block
}

Steps:

1. Fetch raw Morpheus output using function get_word_blocks().

2. Split the response into analysis blocks at each ‘:raw’ marker using function split_into_raw_blocks().

3. For each block, call parse_word_block() to create a parse dictionairy.

4. Add Part of Speech tag to the parse dictionairy by calling analyse_pos().

5. Add the SP morph-tag to the parse dictionairy by calling analyse_morph_tag().

6. Return a structured result.

Raises:

ValueError:

If the language parameter is invalid (only ‘greek’ and ‘latin’ are allowed).

ValueError:

If the api_endpoint parameter is malformed (format should be ‘host(IP or name):port’).

Example:

api_endpoint="192.168.0.5:1315"
result=morphkit.analyse_word_with_morpheus('au(/th',api_endpoint)

Flow diagram:

+------------------------------+
| analyse_word_with_morpheus() |
+--------------+---------------+
               |
               v
+-----------------------+   HTTP request  +--------------------+
|  1. get word blocks   +<--------------->+  Morpheus endpoint |
+--------------+--------+  HTTP response  +--------------------+
               |
               v
+--------------+----------------+
| 2. Split into blocks          |
+-------------------------------+
               |
               v
+--------------+----------------+
| 3. for each block:            |
|     +----------------------+  |
|     | analyse_pos          |  |
|     | analyse_morph        |  |
|     +----------------------+  |
+--------------+----------------+
               |
               v
+--------------+----------------+
| 4. Return combined analyses   |
+-------------------------------+