這是不可能的。數據模型和底層技術是不同的。Paratext 的用例： 如果您希望將某些詞語分解為詞素，但不希望嚴格定義每個詞素及其所有異形詞素。
Fieldworks 解析器的用例： 我希望將所有詞語分解為詞素，並嚴格定義每個詞素及其所有異形詞素。
這兩個解析器擅長的事情不同。在解析器之間來回切換並不建議。
我認為，如果您將 Flex 中的基準文本複製到 Paratext 中的一本額外書卷中，只要您手動使用最常見的詞素來劃分詞語，它很快就會開始識別詞素。您可以嘗試一下，看看是否喜歡結果。
我建議快速教導 Paratext 解析器的方法是使用詞表工具，而不是專案逐字對照工具，來查找並解析一些生產力最高的詞語。例如，對詞表工具中一個非常常見的動詞進行排序，並手動解析該動詞的幾個表面形式。Paratext 解析器會獲取這些信息並將其應用於其他動詞。它會很快學會識別該語言的時態/體標記。
It is not possible. The data models and underlying technologies are different.Use case for Paratext: If you want to break some words into morphemes but you do not want to rigorously define each morpheme and all of its allomorphs.
Use case for Fieldworks parser: I do want to break all words into morphemes and rigorously define each morpheme and all of their allomorphs.
What the two parsers are good at is different. Moving back and forth between parsers is not advisable.
I would say that if you copy the baseline text from Flex to an extra book in Paratext, it will very quickly start recognizing morphemes if you manually divide words with the most common morphemes. You can give it a try and see if you like the results.
My suggestion for teaching the Paratext Parser quickly is to use the wordlist tool and not the project interlinearizer to find and parse some of the most productive words. For example sort the word list tool for a very common verb and manually parse several surface forms of that verb. The Paratext parser will take that information and will apply that to other verbs. It will quickly learn to recognize the tense/aspect markers for the language.
機器翻譯自 English 顯示原文
